AU2021106330A4 - Method and system for improving wireless sensor network using fault mitigation technology - Google Patents

Abstract

METHOD AND SYSTEM FOR IMPROVING WIRELESS SENSOR NETWORK USING FAULT MITIGATION TECHNOLOGY ABSTRACT The present invention is related to method and system for improving wireless sensor network using fault mitigation technology. The objective of present invention is to solve the abnormalities presented in the prior art techniques related to fault detection in wireless sensor network. 28 DRAWINGS Sensor Sensor Fault mitigation Technology Wireless Network Fault detection circuit Sensor Sensor Computing Unit FIGURE 1 29

Description

DRAWINGS

Sensor Sensor

Fault mitigation Technology Wireless Network Fault detection circuit

Sensor Sensor

Computing Unit

FIGURE 1

METHOD AND SYSTEM FOR IMPROVING WIRELESS SENSOR NETWORK USING FAULT MITIGATION TECHNOLOGY FIELD OF INVENTION

[001]. The present invention relates to the technical field of wireless

sensor network.

[002]. Particularly, the present invention relates to the field of

automatically fault detection in wireless sensor network.

[003]. Particularly, the present invention relates to fault mitigation

technology based fault detection for wireless network sensor used in

smart home application.

[004]. More particularly, the present invention is related to method and

system for improving wireless sensor network using fault

mitigationtechnology.

BACKGROUND & PRIOR ART

[005]. The subject matter discussed in the background section should

not be assumed to be prior art merely as a result of its mention in the

background section. Similarly, a problem mentioned in the

background section or associated with the subject matter of the

background section should not be assumed to have been previously

recognized in the prior art. The subject matter in the background

section merely represents different approaches, which in-and-of

themselves may also be inventions.

[006]. Some of the work listed herewith:

[007]. 108199899WIRELESS SENSOR NETWORK FAULT DETECTION

METHOD, DEVICE AND SYSTEM CN - 2.06.2018Int.Class H04L

12/24Appl.No 201810049879.7Applicant SHANDONG YINGCAI

UNIVERSITYInventor HUANG XUThe invention discloses a wireless

sensor network fault detection method, device and system. The method

comprises the following steps: receiving fault detection information of a

sub-node, and pre-processing the fault detection information to obtain an

original fault detection sample; receiving fault detection related

information elements, and analyzing fault signs, fault type and judgment policy according to the fault detection information elements; simplifying and extracting the original fault detection sample by using a rough set method to process and eliminate redundancy information, acquiring a simplified fault detection decision table by combining the data of the last step, inputting the fault detection decision table into a neural network to perform the intelligent fault detection; determining a detection result of the fault type, and uploading the detection result to a monitor center. Through the method disclosed by the invention, the fault of the wireless sensor network is intelligently detected in a targeted way, and the reliability and the stability of the wireless sensor network are improved.

[008]. 102547812FAULT DETECTION METHOD OF WIRELESS

SENSOR NETWORK AND EVENT DETECTION METHOD THEREOF

CN - 04.07.20121nt.Class H04W 24/04Appl.No 201110344807.3Applicant

Nanjing niversity of Posts and TelecommunicationsInventor Xu Xiaolong

The invention discloses a fault detection method of a wireless sensor

network, which first utilizes various existing fault detection algorithms for

preliminary fault detection and then utilizes the event boundary detection

algorithms for correction of the preliminary fault detection results so as to

obtain more accurate fault detection results. The invention further discloses

an event detection method of the wireless sensor network, which first

utilizes the fault detection method for fault detection, then utilizes temporal correlation for event detection and achieves control on energy consumption of the sensor network by adjusting the size of a sliding window.

Simultaneously, a node credibility dynamic regulation mechanism is

adopted, and nodes automatically adjust node credibility based on changes

of network environment. The event detection method of the wireless sensor

network is capable of automatically adjusting energy consumption of the

network based on different application requirements, has strong fault

tolerant ability, is capable of achieving event detection and early warning

and determining the size of an event area, and enables the wireless sensor

network to have long service life.

[009]. 109495313WIRELESS SENSOR NETWORK FAULT DETECTION

METHOD BASED ON POISSON DISTRIBUTION FAULT MODEL CN

- 19.03.2019Int.Class H04L 12/24Appl.No 201811492152.2Applicant

TIANJIN JINHANG INSTITUTE OF COMPUTING

TECINOLOGYInventor GAO AN The invention belongs to the technical

field of wireless sensors, and particularly relates to a wireless sensor

network fault detection method based on a Poisson distribution fault

model. The method comprises the steps of: firstly, establishing, according

to fault characteristics of a wireless sensor network, a fault model based on

generalized Poisson distribution through a probability theory,

andcalculating a probability of occurrence of a fault according to the model; secondly, a detection strategy triggering mechanism based on the fault model avoiding fault detection in a fault tolerant state, and effectively saving the node energy and the network overhead; after triggering the fault detection strategy, calculating a fault state of a node by establishing a matrix of the monitored valuecomparison results of the node and a neighbor node at different times and setting a threshold value; and simultaneously establishing a fault state setting rule, wherein fault states between neighbomodes can affect each other. According to the wireless sensor network fault detection method based on Poisson distribution fault model, the fault detection of nodes is realized through the comparisonwith state and information of neighbor nodes.

[0010]. 109474474FAULT DETECTION SYSTEM FOR WIRELESS

SENSOR NETWORK BASED ON POISSON DISTRIBUTION FAULT

MODEL CN - 15.03.20191nt.Class H04L 12/24Appl.No

201811492153.7Applicant TIANJIN JINHANG INSTITUTE OF

COMPUTING TECHNOLOGYInventor GAO UANThe invention belongs

to the technical field of wireless sensors, and particularly relates to a fault

detection system for wireless sensor network based on a Poisson

distribution fault model. Firstly,a fault model based on generalized Poisson

distribution is established by probability theory based on fault

characteristics of the wireless sensor networks, and the probability of fault occurrence iscalculated according to the model; secondly, a detection strategy trigger mechanism based on the fault model avoids the fault detection under fault tolerance, and effectively saves node energy and network overhead; then, in the case of triggering the fault detection strategy, a threshold value is set by establishing a result matrix of contrastive monitoring values when the node and the neighbor node are at different times, and calculating the fault state of the node. At the same time, a fault state setting rule is established, and fault states between neighbor nodes can affect each other. Through the comparison of status and information of the neighbor nodes, the fault detection process of the node is realized.

[0011]. 104280665FAULT DETECTING SYSTEM FOR POWER

DISTRIBUTION NETWORK AND DETECTING METHOD THEREOF

CN - 14.01.20151nt.Class GOiR 31/08Appl.No 201410515741.3Applicant

TIANJIN IANGSHENGYUAN ELECTRIC POWER EQUIPMENT

INDUSTRIAL CO., LTD.Inventor DONG QIANG The invention discloses

a fault detecting system for a power distribution network and a detecting

method of the fault detecting system. The power distribution network is a

power distribution network with multiple power sources and multiple

loops. The fault detecting system comprises a time base signal

synchronizing system and a data analysis terminal, wherein the time base signal synchronizing system is composed of sensor network sets and a reference voltage frequency collector, and the data analysis terminal is used for receiving data signals of the sensor network sets and data signals of the reference voltage frequency collector. The sensor network sets are current frequency collectors distributed on a plurality of nodes on the power distribution network. The current frequency collectors and the data analysis terminal are each provided with wireless signal transmission terminals carrying out wireless data exchange with one another. A signal output terminal of the reference voltage frequency collector is electrically connected with an analog input terminal of an analog-digital converter. A digital quantity output terminal of the analog-digital converter carries out data communication with the data analysis terminal through an optical fiber network data line. By the adoption of the technical scheme, the fault detecting system can determine the position of a fault point fast and accurately through the conversion of the power direction.

[0012]. 112399367ANTI-INTERFERENCE LARGE-SCALE EQUIPMENT

STRUCTURE SAFETY DETECTION METHOD CN

23.02.2021Int.Class H04W 4/38Appl.No 202011228134.OApplicant

HARBIN NORMAL NIVERSITYInventor ZHU HAILONGThe invention

discloses an anti-interference large equipment structure safety detection

method. An algorithm of the method comprises the following steps that a wireless sensor network sends various data collected by a sensor to portable intelligent safety detection equipment in a wireless mode through a TCP/IP protocol; the intelligent detection equipment processes the data and then gives out a detection and evaluation result, and sends the result to the data processing center; and a user can check or issue an instruction through the network terminal. According to the method, multi-source datais fused, features are extracted from node data from two dimensions of space and time, space and time correlation is established, and a wireless sensor node fault detection model based on a confidence rule base is provided. Experimental results prove that the method reduces the influence of noise and other uncertain information on the accuracy of fault detection, and improves the precision of fault detection.

[0013]. 108508458UNMANNED AERIAL VEHICLE GPS LOCATION

FAULT DETECTION AND RECONSTRUCTION METHOD BASED ON DISTANCE MEASUREMENT BETWEEN VEHICLES CN

07.09.2018Int.Class GOIS 9/23Appl.No 201810178772.2Applicant

CENTRAL SOUTH UNIVERSITYInventor CHEN QIFENGThe present

invention discloses an unmanned aerial vehicle GPS location fault

detection and reconstruction method based on distance measurement

between vehicles. The GPS of an unmanned aerial vehicleis employed to

obtain correlation properties of a calculation distance and a measurement distance obtained by a distance measurement sensor and construct a fault detection model to complete diagnosisof location faults of the unmanned aerial vehicle in a multi-unmanned aerial vehicle system. A consistency detection method of location and distances of non-central chi square distribution is employed, a node fault location method improving a wireless sensor network field is employed to detect and determine location faults caused by GPS of part of unmanned aerial vehicles being interfered or shielded in an unmanned aerial vehicle group, fully utilize advantages of the multi-unmanned aerial vehicle system and overcome the problem that a single unmanned aerial vehicle GPS is interfered and deceived. The unmanned aerial vehicle GPS location fault detection and reconstruction method improves the reliability of the detection result under the condition without improving the system hardware performances and has a good application value.

[0014]. 107332691FAULT NODE DETECTION METHOD FOR

WIRELESS SENSOR NETWORK CN - 07.11.20171nt.Class H04L

12/24Appl.No 201710431311.7Applicant XIDIAN UNIVERSITYInventor

ENG AILIN The invention belongs to the technical field of wireless

sensors, and discloses a fault node detection method for a wireless sensor

network. The fault node detection method for the wireless sensor network

is characterized in that a fault node exists in a node set having event reading, and the fault node is misjudged to be an event node; least square fitting is performed on the node reading in the node set by continuously converting a fitting node set according to a simulated annealing algorithm principle; the node set with the optimal fitting effect is found in the event node; whether the nodes have fault reading is judged by comparing the reading of the other event nodes with the corresponding fitted values. Each node only needs to send the data to a cluster head, so that energy consumption of communication between the nodes is reduced; fault detection can still be performed when no spatial correlation exists between the nodes; the algorithm is low in complexity, and the running speed is fast; fault detection can be performed, and fitting results can also be sent to the terminal for reflecting specific condition of an event area.

[0015]. 109951861WIRELESS SENSOR NETWORK FAULT DETECTION

SYSTEM CN - 28.06.20191nt.Class H04W 24/04Appl.No

201910174883.OApplicant HUAIHAI INSTITUTE OF

TECIINOLOGYInventor SONG ONGXIAN The invention discloses a

wireless sensor network fault detection system comprising a node fault

information acquisition module used for acquiring node fault information;

a fault information preprocessing module used for preprocessing the node

fault information by adopting a Hadoop-based rough set fast attribute

reduction algorithm; a fault recognition and evaluation module used for realizing recognition of fault types based on an RBF neural network model; and a fault decision module used for realizing the output of the current fault recovery decision based on the fault type and the TTDPN model of the sensor network. According to the invention, a fault self-detection strategy for the sensor node and the whole network can be formed, and the data credibility and robustness are improved. Fault detection can be carried out on line in real time according to data of all nodes of the sensor, and closed-loop control over the health state of the nodes is formed.

[0016]. 107426741WIRELESS SENSOR NETWORK FAULT DIAGNOSIS

METHOD BASED ON IMMUNE MECHANISM CN

01.12.2017Int.Class H04W 16/22Appl.No 201710593602.6Applicant

CHONGQING HREE GORGES UNIVERSITY Inventor LI HONGBING

The invention discloses an immune fault diagnosis method based on spatial

characteristics. According to the method, a study is conducted mainly on

faults of network nodes, a node diagnosis algorithm based on the immune

mechanism and the spatial characteristics is optimized, the immune

mechanism and the method are effectively combined, and node fault

detection and diagnosis studying are conducted by introducing modem

intelligent algorithms such as the bionics principle and the immune

mechanism. By introducing the immune mechanism with fault recognition,

self-organized studying and secondary immunization functions to be applied to nose fault diagnosis of a wireless sensor network, wireless sensor network node fault detection and diagnosis fault type distinguishing are completed. By means of antibody-antigen mutual recognition in the immune algorithm and optimization on memory antibodies, a fault database is classified according to the memory antibodies on the basis of an original training sample, the diversity of the fault database is improved, the fault diagnosis precision is improved, and the purposes of improving the fault tolerance and the stability of the wireless sensor network are achieved.

[0017]. 105897469FAULT DETECTION METHOD AND FAULT

DETECTION DEVICE FOR WIRELESS SENSOR NETWORK CN

24.08.20161nt.Class H04L 12/24Appl.No 102016000202851Applicant

Beijing niversity f Posts and TelecommunicationsInventor Li

HeEmbodiments of the invention disclose a fault detection method and a

fault detection device for a wireless sensor network. The method comprises

the following steps: acquiring a system parameter value sequence of any

two system parameters contained in each sensor node in a current time

window; sorting the system parameter values, and acquiring a system

parameter value ordered sequence for each sensor node; calculating out the

relation value view vector of each sensor node; clustering all the relation

value view vectors in the current time window to get a clustering result; and determining the sensor nodes corresponding to the relation value view vectors not belonging to the clustering result in the current time window as faulty nodes. According to the embodiments of the invention, the relation between the system parameters of sensor nodes is utilized, and the problem on how to detect faults in a wireless sensor network based on the relation between the system parameters of sensor nodes is solved.

[0018]. 109714788A SENSOR NODE FAULT DIAGNOSIS ALGORITHM

WITH ONLINE FAULT TOLERANCE AND NEIGHBOR

COOPERATION CN - 03.05.20191nt.Class H04W 24/04Appl.No

201910151569.OApplicant FUJIAN NORMAL UNIVERSITYInventor

CHEN ZHIDEThe invention discloses a sensor node fault diagnosis

algorithm with online fault tolerance and neighbor cooperation. the state of

the node is judged through distributed online fault detection; The online

fault-tolerant fault detection stage has a certain fault-tolerant capability, the

possibility that normal nodes are diagnosed as fault nodes is reduced,

communication with neighbors is carried out only when node data are

abnormal continuously, communication among the nodes is reduced, and

therefore energy consumption of the nodes is reduced, and the service life

of the sensor nodes is prolonged. Meanwhile, fault diagnosis interference

caused by abnormal data is avoided by utilizing an improved criterion

based on a neighbor cooperation fault diagnosis mechanism, and the fault diagnosis accuracy is improved. Under the condition that energy consumption is effectively reduced, the method overcomes the defects that a traditional algorithm is few in neighbor nodes, high in fault rate and low in fault diagnosis accuracy, also has good advantages for a complex sensor network environment, and is suitable for a large-scale wireless sensor network.

[0019]. 111405601SENSOR FAULT DETECTION AND POSITIONING

METHOD BASED ON DUAL-CHANNEL GRAPH FILTER CN

10.07.20201nt.Class H04W 24/04Appl.No 202010236817.4Applicant

GUILIN NIVERSITY OF ELECTRONIC TECHNOLOGYInventor

JIANG JUNZHENG The invention discloses a sensor fault detection and

positioning method based on a dual-channel graph filter, and the method is

characterized in that the method comprises the following steps: 1)

performing data processing: 2) obtaining the maximum residual amplitude

and the average residual amplitude; 3) performing threshold determination;

and 4) obtaining a result. According to the method, the detection rate of the

fault sensor in the wireless sensor network can be improved, and the

position of the fault sensor can be accurately positioned.

[0020]. 109922492A WIRELESS SENSOR FAULT DETECTION

METHOD BASED ON A MOBILE CHARGING SENSOR CN

21.06.2019Int.Class H04W 24/04Appl.No 201910150820.lApplicant

FUJIAN NORMAL NIVERSITYInventor CHEN ZHIDE The invention

relates to a wireless sensor fault detection method based on a mobile

charging sensor. The method comprises the following steps: firstly, the

whole wireless sensor network is uniformly clustered by adopting a

minimum cluster uniform clustering algorithm, making the number of the

cluster member nodes in all clusters the same, the number of cluster heads

after clustering the minimum; the cluster head of each cluster informs a

cluster member node of submitting sensing data in a broadcast mode; after

receiving the broadcast message, the cluster member node sends sensing

data to the cluster head; by adopting a fault detection algorithm, the cluster

head analyzes and calculates sensing data of itself and received sensing

data to obtain state information of all nodes in the cluster,stores the state

information, finally a shortest path is planned, a mobile charging sensor

moves according to the shortest path, charges the cluster head of each

cluster, and feeds back the state information stored in the cluster head to

the base station.

[0021]. 104048749VIBRATION FAULT DETECTION SYSTEM AND

METHOD FOR WIND TURBINE GENERATOR UNITS CN

17.09.2014Int.Class GO1H 17/OOAppl.No 201410289505.4 Applicant

ORTHEAST DIANLI UNIVERSITY Inventor WU CHUNMINGThe

invention discloses a vibration fault detection system and method for wind turbine generator units. Vibration data, including vibration data of front and rear bearings of a gearbox and vibration data of front and rear bearings of a generator, of all parts of the wind turbine generator units are collected through vibration collection nodes by setting up a wireless sensor network, routing nodes passing through all the units are transmitted to a network coordinator node in a multi-hopping mode and transmitted to a monitoring center in the distance through 3G, optical fibers and an etheric multifunctional network, and a negative selection algorithm based on mahalanobis distance is adopted for the monitoring center to achieve remote detection early warning of fault units and fault parts. The vibration fault detection system for the wind turbine generator units comprises the monitoring center, a detection terminal, a database server, the multifunctional network, the network coordinator node, the routing nodes and the vibration collection nodes. According to the system and method, efficiency of the algorithm is improved, the accuracy rate of fault diagnosis is improved, a large amount of time is saved, and the larger the data size is, the more apparent superiority of the algorithm is....

[0022]. Groupings of alternative elements or embodiments of the invention

disclosed herein are not to be construed as limitations. Each group member

can be referred to and claimed individually or in any combination with

other members of the group or other elements found herein. One or more members of a group can be included in, or deleted from, a group for reasons of convenience and/or patentability. When any such inclusion or deletion occurs, the specification is herein deemed to contain the group as modified thus fulfilling the written description of all Markus groups used in the appended claims.

[0023]. As used in the description herein and throughout the claims that

follow, the meaning of "a," "an," and "the" includes plural reference unless

the context clearly dictates otherwise. Also, as used in the description herein,

the meaning of "in" includes "in" and "on" unless the context clearly

dictates otherwise.

[0024]. The recitation of ranges of values herein is merely intended to serve as

a shorthand method of referring individually to each separate value falling

within the range. Unless otherwise indicated herein, each individual value is

incorporated into the specification as if it were individually recited herein.

All methods described herein can be performed in any suitable order unless

otherwise indicated herein or otherwise clearly contradicted by context.

[0025]. The use of any and all examples, or exemplary language (e.g. "such

as") provided with respect to certain embodiments herein is intended merely

to better illuminate the invention and does not pose a limitation on the scope

of the invention otherwise claimed. No language in the specification should be construed as indicating any non-claimed element essential to the practice of the invention.

[0026]. The above information disclosed in this Background section is

only for enhancement of understanding of the background of the

invention and therefore it may contain information that does not form

the prior art that is already known in this country to a person of

ordinary skill in the art.

SUMMARY

[0027]. The present invention mainly cures and solves the technical

problems existing in the prior art. In response to these problems, the

present invention provides method and system for improving wireless

sensor network using fault mitigation technology.

[0028]. As one aspect of the present invention relates to a system for

improving wireless sensor network using fault mitigation technology

in wireless connected network in smart home, wherein the system

comprising: A plurality of sensor, connected in a network wirelessly,

wherein the sensor is placed at different location of the smart home

to monitor different physical parameters, security related parameters

and controlling related parameters; A computing processing unit, connected to the plurality of sensors and process the information received from the wireless connected network; and A fault detection unit, used to detect the fault in any of the sensor connected in the network, wherein the fault detection unit used a testing module, wherein the testing module is connected to each of the sensor

, separately circuit and used to connect the sensor with recognizing

location of the sensor, wherein a fault detection signal is transmitted

to each of the sensor connected in the network., wherein the fault

detection unit calculate the fault and the location of fault of the

sensor using the fault detection signal, wherein a fault detection unit

is used for detecting a fault in the sensor device connected to the

sensor device itself via the wireless communication.

OBJECTIVE OF THE INVENTION

[0029]. The principal objective of the present invention is to provide

method and system for improving wireless sensor network using fault

mitigation technology.

BRIEF DESCRIPTION OF DRAWINGS

[0030]. Further clarify various aspects of some example embodiments of

the present invention, a more particular description of the invention

will be rendered by reference to specific embodiments thereof which

are illustrated in the appended drawings. It is appreciated that these

drawings depict only illustrated embodiments of the invention and are

therefore not to be considered limiting of its scope. The invention will

be described and explained with additional specificity and detail

through the use of the accompanying drawings.

[0031]. In order that the advantages of the present invention will be

easily understood, a detailed description of the invention is discussed

below in conjunction with the appended drawings, which, however,

should not be considered to limit the scope of the invention to the

accompanying drawings, in which:

[0032]. Figure 1 shows an exemplary representation of method and

system for improving wireless sensor network using fault mitigation

technology, according to the present invention.

DETAIL DESCRIPTION

[0033]. The present invention discloses method and system for

improving wireless sensor network using fault mitigation technology.

[0034]. Figure 1 shows the exemplary representation of method and

system for improving wireless sensor network using fault mitigation

technology, according to the present invention.

[0035]. Although the present disclosure has been described with the

purpose of two smart frameworks for providing privacy and protection

in block chain based private transactions using cloud computing

approach, it should be appreciated that the same has been done merely

to illustrate the invention in an exemplary manner and to highlight any

other purpose or function for which explained structures or

configurations could be used and is covered within the scope of the

present disclosure.

[0036]. A system for improving wireless sensor network using fault

mitigation technology in wireless connected network in smart home,

the system comprising a plurality of sensor.

[0037]. The plurality of sensor is connected in a network wirelessly,

wherein the sensor is placed at different location of the smart home

to monitor different physical parameters, security related parameters

and controlling related parameters.

[0038]. A computing processing unit is connected to the plurality of

sensors and process the information received from the wireless

connected network.

[0039]. A fault detection unit is used to detect the fault in any of the

sensor connected in the network.

[0040]. The fault detection unit is used a testing module, wherein the

testing module is connected to each of the sensor , separately circuit

and used to connect the sensor with recognizing location of the

sensor.

[0041]. A fault detection signal is transmitted to each of the sensor

connected in the network.

[0042]. The fault detection unit is calculate the fault and the location of

fault of the sensor using the fault detection signal, wherein a fault

detection unit is used for detecting a fault in the sensor device

connected to the sensor device itself via the wireless communication.

[0043]. The computing unit is processor based computing unit.

[0044]. The wireless sensor network is standard communication

protocol based wireless sensor network.

[0045]. A base station is adapted to wirelessly receive data from each of

the plurality of sensors in wireless sensor network.

[0046]. . The figures and the foregoing description give examples of

embodiments. Those skilled in the art will appreciate that one or

more of the described elements may well be combined into a single

functional element. Alternatively, certain elements may be split into

multiple functional elements. Elements from one embodiment may

be added to another embodiment.

[0047]. For example, order of processes described herein may be

changed and are not limited to the manner described herein.

Moreover, the actions of any block diagram need not be

implemented in the order shown; nor do all of the acts need to be

necessarily performed. Also, those acts that are not dependent on

other acts may be performed in parallel with the other acts. The

scope of embodiments is by no means limited by these specific

examples.

[0048]. Although implementations of the invention have been described

in a language specific to structural features and/or methods, it is to

be understood that the appended claims are not necessarily limited to

the specific features or methods described. Rather, the specific

features and methods are disclosed as examples of implementations

of the invention.

EDITORIAL NOTE

2021106330

THERE ARE THREE PAGES OF CLAIMS ONLY

Claims (4)

CLAIMS I/We claim:

1. A system for improving wireless sensor network using fault

mitigation technology in wireless connected network in smart

home, wherein the system comprising:

A plurality of sensor, connected in a network wirelessly,

wherein the sensor is placed at different location of the smart

home to monitor different physical parameters, security related

parameters and controlling related parameters;

A computing processing unit, connected to the plurality of

sensors and process the information received from the wireless

connected network; and

A fault detection unit, used to detect the fault in any of the

sensor connected in the network, wherein the fault detection unit

used a testing module, wherein the testing module is connected to each of the sensor , separately circuit and used to connect the sensor with recognizing location of the sensor, wherein a fault detection signal is transmitted to each of the sensor connected in the network., wherein the fault detection unit calculate the fault and the location of fault of the sensor using the fault detection signal, wherein a fault detection unit is used for detecting a fault in the sensor device connected to the sensor device itself via the wireless communication.

2. The system for improving wireless sensor network using fault

mitigation technology in wireless connected network in smart

home as claimed in claim 1, the computing unit is processor

based computing unit.

3. The system for improving wireless sensor network using fault

mitigation technology in wireless connected network in smart

home as claimed in claim 1, the wireless sensor network is

standard communication protocol based wireless sensor

network.

4. The system for improving wireless sensor network using fault

mitigation technology in wireless connected network in smart

home as claimed in claim 1, Wherein a base station is adapted

to wirelessly receive data from each of the plurality of sensors in

wireless sensor network.