CN103313298A - Node redundancy detection method for heterogeneous sensor network - Google Patents

Node redundancy detection method for heterogeneous sensor network Download PDF

Info

Publication number
CN103313298A
CN103313298A CN2013101038586A CN201310103858A CN103313298A CN 103313298 A CN103313298 A CN 103313298A CN 2013101038586 A CN2013101038586 A CN 2013101038586A CN 201310103858 A CN201310103858 A CN 201310103858A CN 103313298 A CN103313298 A CN 103313298A
Authority
CN
China
Prior art keywords
node
redundancy
neighbor
network
redundant
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN2013101038586A
Other languages
Chinese (zh)
Inventor
孙力娟
魏静
肖甫
郭剑
王汝传
韩崇
杜晓玉
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Nanjing Post and Telecommunication University
Nanjing University of Posts and Telecommunications
Original Assignee
Nanjing Post and Telecommunication University
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Nanjing Post and Telecommunication University filed Critical Nanjing Post and Telecommunication University
Priority to CN2013101038586A priority Critical patent/CN103313298A/en
Publication of CN103313298A publication Critical patent/CN103313298A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02DCLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00Reducing energy consumption in communication networks
    • Y02D30/70Reducing energy consumption in communication networks in wireless communication networks

Landscapes

  • Mobile Radio Communication Systems (AREA)
  • Small-Scale Networks (AREA)

Abstract

The invention relates to a node redundancy detection method for a heterogeneous sensor network, wherein judgment is performed with different redundancy rules by adopting an algorithm that nodes are classified according to positions of neighbor nodes. Aiming at a scheduling method for covering nodes in a traditional isomorphic network, the method provided by the invention comprises the following steps: classifying the neighbor nodes into three types according to node positions in a sensor network with two sensing distances; and judging with different redundancy rules so as to judge whether the nodes can sleep. Meanwhile, the traditional redundancy judgment flow is also changed so as to achieve the purpose of preventing blind points from being covered. The problem of redundancy caused by high-density deployment of nodes is solved, and the life cycle of the network is prolonged.

Description

A kind of node redundancy detection method for heterogeneous sensor network
Technical field
The present invention relates to a kind of method of novel judgement heterogeneous wireless sensor network interior nodes redundancy, belong to the field of node scheduling in the sensor network, particularly a kind of for guaranteeing KIn the situation of coverage rate, realize heterogeneous wireless sensor network node scheduling method with the classification situation of neighbor node.
  
Background technology
Wireless sensor network is that over the past two years, wireless sensor network had obtained the expert and paid close attention to widely and study along with micro-electro-mechanical systems the unify development of wireless communication technology and a kind of new network of occurring.In general, wireless sensor network by be deployed in a large number the cheapness in the monitored area, miniature sensor node forms, form the network system of multi-hop ad hoc by communication, object information in synergistically perception, the acquisition and processing network monitor zone, and an information that monitors sends to the observer.
Because the restriction of the various factorss such as cost and volume, the battery capacity of single-sensor node is often limited.In addition since sensor node quantity many, have a very wide distribution, and the circumstance complication of deployment region, some zone or even personnel can not arrive, thereby the node battery is replaced and the supplemental node energy all is infeasible.So how in the situation that the life span of individual node energy constraint, the whole network system of the shorter prolongation of life span is a significant challenge in the Design of Wireless Sensor Network.
In order in the situation of the performance that does not affect network, to prolong the life cycle of whole network, normally used method is just to strengthen the quantity of node when disposing, and then by node is dispatched, utilize the redundancy determination rule to close redundant node, energy saving reaches the also purpose of prolong network lifetime of improving service quality.
Main target when the design node dispatching algorithm has:
(1) energy efficiency: just must make the least possible node in running order the life cycle that will prolong network under the prerequisite of the service quality that does not affect network.
(2) spreadability: how to guarantee in the network coverage that each target area is at least in the sensing range of a sensor node;
(3) connectedness: Node Scheduling Algorithms in Line should guarantee that the covering of monitored area and this regional active node are communicated with, thereby guarantees the timely transmission of data message.
These solution of problems can make whole sensor network come monitoring objective with the energy cost of minimum, thereby reach the purpose that prolongs network lifetime.
Wireless sensor network can be divided into homogeneous network and heterogeneous network according to node sensing radius is whether identical.
At present, all concentrate on the network to isomorphism for the research great majority of wireless sensor network, be that all node resources all are the same in the network, the node type of research is relatively single, and in the configuration of the sensor network of reality and using, because the shape of monitored area etc., often heterogeneous network can be obtained better effect.So this paper article the determination methods of node redundancy in a kind of heterogeneous sensor network.
Summary of the invention
Technical problem:The objective of the invention is to propose a kind of node redundancy detection side for heterogeneous sensor network
Method is judged redundant node in the heterogeneous network, thus the life cycle of effectively improving network.
Technical scheme:For the dispatching method of overlay node in traditional homogeneous network, the present invention proposes the method that the node redundancy in the heterogeneous wireless sensor network is judged in.The method is in the sensor network that two kinds of distance of reaction are arranged, and neighbor node is divided three classes by node location, judge by different redundant rules, thereby whether decision node can dormancy.Simultaneously, also traditional redundancy determination flow process is made change, reached the purpose that prevents from covering the blind spot appearance.
Node redundancy detection method for heterogeneous sensor network of the present invention according to the position relationship of effective neighbor node and node, is divided into three kinds with remaining effective neighbor node,
Class1: node
Figure 108925DEST_PATH_IMAGE001
Be node
Figure 644948DEST_PATH_IMAGE002
Effective neighbor node, and ,
Figure 769079DEST_PATH_IMAGE004
, this moment we
Figure 444911DEST_PATH_IMAGE001
As first kind neighbor node, be designated as
Figure 558360DEST_PATH_IMAGE005
Wherein S (a) and S (b)Be respectively node aAnd node bThe sensing range area, RaWith RbBe respectively node aAnd node bThe perception radius, D (a, b)Refer to node aAnd node bBetween geometric distance; Satisfy the network coverage neighbor node number of appointment
Figure 77066DEST_PATH_IMAGE006
Satisfy condition
Figure 301374DEST_PATH_IMAGE007
, wherein
Figure 97292DEST_PATH_IMAGE008
The network coverage for appointment;
Type 2: node satisfies
Figure 116064DEST_PATH_IMAGE009
, namely And
Figure 150065DEST_PATH_IMAGE011
This moment we
Figure 800489DEST_PATH_IMAGE012
As the Equations of The Second Kind neighbor node, be designated as
Figure 255741DEST_PATH_IMAGE013
, according to how much calculating, in this case, central angle is The dash area area that two circles intersect is
Figure 49571DEST_PATH_IMAGE015
In this case, the number of calculating the neighbor node of the coverage rate satisfy as can be known appointment is
Figure 820080DEST_PATH_IMAGE016
Type 3: node satisfies
Figure 446234DEST_PATH_IMAGE017
, this moment handle
Figure 567774DEST_PATH_IMAGE012
As the 3rd class neighbor node, be designated as
Figure 531050DEST_PATH_IMAGE018
The intersection area is
Figure 687225DEST_PATH_IMAGE019
Need to satisfy and specify the neighbor node number of coverage rate to be
Figure 953122DEST_PATH_IMAGE020
Redundant node is judged:
A) first kind neighbor node number Number be at least
Figure 63346DEST_PATH_IMAGE006
, the Equations of The Second Kind neighbor node
Figure 74027DEST_PATH_IMAGE013
With the 3rd class neighbor node
Figure 510825DEST_PATH_IMAGE018
Number be at least
Figure 606957DEST_PATH_IMAGE021
Perhaps
b)
Figure 777224DEST_PATH_IMAGE023
c)
Figure 916081DEST_PATH_IMAGE024
If can satisfy above-mentioned three any one, then nodes
Figure 968351DEST_PATH_IMAGE002
Be redundant node, can close;
Judge the concrete steps in redundant stage:
Step1: for the complete node of initialization, by from small to large ordering, the node that energy is low carries out first the redundancy assessment according to the node primary power;
Step2: whether redundant with the redundant node judging rules decision node that proposes in the literary composition;
Step3: if node redundancy is then waited for
Figure 483646DEST_PATH_IMAGE025
Prepare after time to enter resting state, node is not redundant, then still is operating state;
Step4: prepare to enter the node of resting state, inform message RAM if receive redundancy, just carry out the redundancy assessment, assessment does not satisfy condition, and enters operating state, and assessment satisfies condition, and then broadcasts redundancy and informs message RAM, and enter resting state.
Beneficial effect:The present invention relates to a kind of method of novel judgement heterogeneous wireless sensor network interior nodes redundancy and realize heterogeneous wireless sensor network node scheduling method with the classification situation of neighbor node, be mainly used in solving the problem of energy consumption in the heterogeneous network.In the research of most of sensor network, we only pay close attention to the situation of homogeneous network.This patent after considering real world applications, in the heterogeneous network that research emphasis is placed on, the node scheduling situation of primary study heterogeneous network.In general homogeneous network, we with the method for random schedule artificial close the life cycle that some nodes prolong network, in this patent method of selecting redundant node is improved, used the classify method of comparison of neighbor node is selected redundant node.
Therefore, beneficial effect of the present invention comprises the scope that has increased node scheduling research, has reduced blindness and the time complexity of selecting redundant node, has realized improving the purpose of network lifecycle.
Description of drawings
Fig. 1 is sponsor's sector schematic diagram.
Fig. 2 is in the isomorphism sensor network
Figure 796816DEST_PATH_IMAGE026
The schematic diagram of all standing.
Fig. 3 is
Figure 106574DEST_PATH_IMAGE027
And
Figure 646140DEST_PATH_IMAGE028
The schematic diagram of Shi Jiedian.
Fig. 4 is
Figure 699547DEST_PATH_IMAGE001
As
Figure 539327DEST_PATH_IMAGE002
The schematic diagram of first kind neighbor node.
Fig. 5 is
Figure 613462DEST_PATH_IMAGE001
As
Figure 640324DEST_PATH_IMAGE002
The schematic diagram of Equations of The Second Kind neighbor node.
Fig. 6 is the central angle of Equations of The Second Kind neighbor node
Figure 231842DEST_PATH_IMAGE029
The calculating schematic diagram.
Fig. 7 is As The schematic diagram of the 3rd class neighbor node.
Fig. 8 is the flow chart of embodiment.
  
Embodiment
The present invention is based on the redundance judging method of heterogeneous network, taked the neighbor node Judgments Strategies In The Categorical to learn whether node can enter resting state.
One, transducer covering problem:
1. identical induction range:
Definition 1:Neighbours.Node
Figure 216482DEST_PATH_IMAGE002
Neighbours collection may be defined as , wherein
Figure 894905DEST_PATH_IMAGE031
Be the set of node of deployment region,
Figure 310842DEST_PATH_IMAGE032
The expression node
Figure 577876DEST_PATH_IMAGE002
To node
Figure 245617DEST_PATH_IMAGE001
Between distance.
Figure 914496DEST_PATH_IMAGE033
Be node
Figure 501335DEST_PATH_IMAGE002
Sensing range, for node
Figure 255665DEST_PATH_IMAGE002
, it for the mathematic condition of redundant node is , the sensing range node of the neighbor node that they are all
Figure 984903DEST_PATH_IMAGE002
The superset of sensing range, its expression formula is
Figure 8223DEST_PATH_IMAGE035
Definition 2:Shared sector.Such as Fig. 1, node
Figure 249848DEST_PATH_IMAGE002
With node
Figure 993814DEST_PATH_IMAGE001
Be neighbours, both induction regions intersect at
Figure 637284DEST_PATH_IMAGE036
With
Figure 972451DEST_PATH_IMAGE037
2 points, the sector of formation is by the limit The limit
Figure 373662DEST_PATH_IMAGE039
And arc
Figure 340481DEST_PATH_IMAGE040
Form, this sector region can be defined as node
Figure 112128DEST_PATH_IMAGE001
To node
Figure 656242DEST_PATH_IMAGE002
The sector, note is done
Figure 538747DEST_PATH_IMAGE041
, the central angle of this sector is
Figure 360073DEST_PATH_IMAGE042
Be sensing range is identical
Figure 896096DEST_PATH_IMAGE043
Wireless sensor network in, by Can derive
Figure 223490DEST_PATH_IMAGE035
As shown in Figure 2, only need to judge whether the set of central angle can realize
Figure 696059DEST_PATH_IMAGE026
The condition of all standing of namely satisfying.Calculate as can be known according to how much
Figure 402984DEST_PATH_IMAGE044
By
Figure 328215DEST_PATH_IMAGE045
As can be known
Figure 21364DEST_PATH_IMAGE046
Different induction ranges:
Although the node in the zone of wireless sensor network is high-density deployment, do not refer to that all neighbor nodes all are that effectively in the present invention, we only consider the situation of effective neighbor node.In the sensor network of isomery, effectively neighbor node refers to for node
Figure 82861DEST_PATH_IMAGE002
, the arbitrary node in the zone
Figure 960687DEST_PATH_IMAGE001
As long as satisfy
Figure 373214DEST_PATH_IMAGE047
, then arbitrarily
Figure 870054DEST_PATH_IMAGE001
All belong to node Effective neighbor node.
As shown in Figure 3, work as node Be node
Figure 746327DEST_PATH_IMAGE002
Effective neighbor node, and satisfy condition ,
Figure 82947DEST_PATH_IMAGE028
The time, i.e. node Induction zone comprise node fully
Figure 424116DEST_PATH_IMAGE002
Induction zone, in this case, do not need through redundancy assessment node
Figure 262759DEST_PATH_IMAGE002
Can directly close.
According to the position relationship of effective neighbor node and node, we are divided into three kinds with remaining effective neighbor node.
Class1: node
Figure 153355DEST_PATH_IMAGE001
Be node
Figure 950409DEST_PATH_IMAGE002
Effective neighbor node, and satisfy condition
Figure 152721DEST_PATH_IMAGE003
With
Figure 326213DEST_PATH_IMAGE004
, as shown in Figure 4, this moment we
Figure 805736DEST_PATH_IMAGE001
As first kind neighbor node, be designated as
Figure 773692DEST_PATH_IMAGE005
Type 2: node satisfies
Figure 463299DEST_PATH_IMAGE009
, namely satisfy condition
Figure 174903DEST_PATH_IMAGE048
With As shown in Figure 5, this moment we As the Equations of The Second Kind neighbor node, be designated as As shown in Figure 6, can be calculated central angle according to how much is
Figure 74409DEST_PATH_IMAGE014
Type 3: node satisfies
Figure 528524DEST_PATH_IMAGE017
, as shown in Figure 7, this moment we
Figure 838283DEST_PATH_IMAGE001
As the 3rd class neighbor node, be designated as
Figure 909007DEST_PATH_IMAGE018
Two. the coverage rate in the heterogeneous network:
Definition 3:Areal coverage: for any point in the given target area, its coverage rate refers to that this point is at least by the time of the perception of sensor node zone covering and the ratio of its network operation time.Mathematic expectaion with the coverage rate in whole zone in this patent is defined as the network coverage, that is: , wherein Cover the probability of a given area for each sensor node,
Figure 345170DEST_PATH_IMAGE051
Number for node in the zone.
The network coverage is satisfied , wherein,
Figure 88184DEST_PATH_IMAGE008
Be given coverage rate lower limit.The number of probes that namely satisfies the coverage rate in the specified scope satisfies:
Figure 782471DEST_PATH_IMAGE053
For first kind neighbor node
Figure 902874DEST_PATH_IMAGE005
, Be node
Figure 936875DEST_PATH_IMAGE002
Sensing range in the number of the neighbor node that satisfies condition.Condition handle according to the network coverage
Figure 485668DEST_PATH_IMAGE054
Substitution can get, Satisfy condition
Figure 309584DEST_PATH_IMAGE007
For the Equations of The Second Kind neighbor node
Figure 101960DEST_PATH_IMAGE013
, by known central angle
Figure 505259DEST_PATH_IMAGE055
Can obtaining then, the crossing dash area area of two circles is
Figure 233044DEST_PATH_IMAGE015
In this case, the number of calculating the neighbor node of the coverage rate satisfy as can be known appointment is
Figure 987373DEST_PATH_IMAGE056
For the 3rd class neighbor node , the area of dash area calculated and equally with type 2 to be this moment
Figure 841246DEST_PATH_IMAGE019
In like manner, need the satisfied neighbor node number of coverage rate of specifying to be
Figure 271090DEST_PATH_IMAGE057
Three. the redundancy determination rule:
1.
Figure 715978DEST_PATH_IMAGE005
Number be at least ,
Figure 493627DEST_PATH_IMAGE013
With
Figure 828793DEST_PATH_IMAGE018
Number be at least Perhaps
Figure 105371DEST_PATH_IMAGE022
2.
Figure 196824DEST_PATH_IMAGE023
3.
If can satisfy above-mentioned three any one, then nodes
Figure 387950DEST_PATH_IMAGE002
Be redundant node, can close.
  
For convenience of description, our supposition has following application example.In the appointed area
Figure 270456DEST_PATH_IMAGE058
Figure 216415DEST_PATH_IMAGE059
In, 100 nodes of random placement, the induction radius of the node of a part is
Figure 158963DEST_PATH_IMAGE060
, the induction radius of remainder is
Figure 65739DEST_PATH_IMAGE061
The transmission radius of two kinds of nodes all is
Figure 486356DEST_PATH_IMAGE062
Starting stage:
After node deployment is wireless sensor network, organize themselves into net after, just carry out the setting of starting stage, in the starting stage, by communicating by letter between node and the node, each node is learnt the positional information of oneself and the information of each neighbor node.
At first, individual node sends the position and informs message PAM in its communication radius, wherein comprise the positional information of node self among the PAM, ID number and the current energy that has.In order to prevent losing of channel confliction and information, each node is time of random wait before sending PAM message
Figure 552401DEST_PATH_IMAGE025
Simultaneously, in order to solve connective problem, according to different radiuses
Figure 400272DEST_PATH_IMAGE063
With
Figure 325502DEST_PATH_IMAGE064
, communication radius is made as 2
Figure 18652DEST_PATH_IMAGE063
With 2
Figure 345728DEST_PATH_IMAGE064
After the PAM of all nodes message sends, can receive location message and the energy message of its neighbor node.
After collecting the information of neighbor node, node just is in state undetermined.In traditional node scheduling, be all to use redundant rule to judge traversal once all nodes, then obtain redundant node, among the present invention according to precedence function f (E i, ID i) decide which node to be introduced into the redundancy determination stage.E wherein iBe the current energy of node a, ID iBe ID number of node a, precedence function f and ENERGY E iBe the inverse proportion function, the node that namely energy is lower more is introduced into the redundancy determination stage.Deterministic process as shown in Figure 8.
Concrete steps:
Step1: for the complete node of initialization, according to precedence function
Figure 68516DEST_PATH_IMAGE065
, the node that energy is low carries out first the redundancy assessment.
Step2: whether redundant with redundant Rules of Assessment decision node.
Step3: if node redundancy is then waited for
Figure 288145DEST_PATH_IMAGE025
Prepare to enter resting state after time.Node is not redundant, then still is operating state.
Step4: prepare to enter the node of resting state, inform message RAM if receive redundancy, just carry out the redundancy assessment, assessment does not satisfy condition, and enters operating state, and assessment satisfies condition, and then broadcasts redundancy and informs message RAM, and enter resting state.

Claims (1)

1. a node redundancy detection method that is used for heterogeneous sensor network is characterized in that according to the position relationship of effective neighbor node and node remaining effective neighbor node being divided into three types,
Class1: node Be node
Figure 137865DEST_PATH_IMAGE002
Effective neighbor node, and
Figure 2013101038586100001DEST_PATH_IMAGE003
,
Figure 404898DEST_PATH_IMAGE004
, this moment we As first kind neighbor node, be designated as Wherein S (a) and S (b)Be respectively node aAnd node bThe sensing range area, RaWith RbBe respectively node aAnd node bThe perception radius, D (a, b)Refer to node aAnd node bBetween geometric distance; Satisfy the network coverage neighbor node number of appointment
Figure 334994DEST_PATH_IMAGE006
Satisfy condition
Figure 2013101038586100001DEST_PATH_IMAGE007
, wherein
Figure 859516DEST_PATH_IMAGE008
The network coverage for appointment;
Type 2: node satisfies
Figure 2013101038586100001DEST_PATH_IMAGE009
, namely
Figure 145004DEST_PATH_IMAGE010
And This moment we
Figure 678754DEST_PATH_IMAGE012
As the Equations of The Second Kind neighbor node, be designated as
Figure 2013101038586100001DEST_PATH_IMAGE013
, according to how much calculating, in this case, central angle is
Figure 733297DEST_PATH_IMAGE014
The dash area area that two circles intersect is
Figure 2013101038586100001DEST_PATH_IMAGE015
In this case, the number of calculating the neighbor node of the coverage rate satisfy as can be known appointment is
Figure 428721DEST_PATH_IMAGE016
Type 3: node satisfies
Figure DEST_PATH_IMAGE017
, this moment handle
Figure 201505DEST_PATH_IMAGE012
As the 3rd class neighbor node, be designated as
Figure 273366DEST_PATH_IMAGE018
The intersection area is
Figure DEST_PATH_IMAGE019
Need to satisfy and specify the neighbor node number of coverage rate to be
Figure 182416DEST_PATH_IMAGE020
Redundant node is judged:
A) first kind neighbor node number
Figure 783162DEST_PATH_IMAGE005
Number be at least
Figure 777663DEST_PATH_IMAGE006
, the Equations of The Second Kind neighbor node With the 3rd class neighbor node
Figure 885613DEST_PATH_IMAGE018
Number be at least Perhaps
Figure 188418DEST_PATH_IMAGE022
b)
Figure DEST_PATH_IMAGE023
c)
Figure 670215DEST_PATH_IMAGE024
If can satisfy above-mentioned three any one, then nodes
Figure 83879DEST_PATH_IMAGE002
Be redundant node, can close;
Judge the concrete steps in redundant stage:
Step1: for the complete node of initialization, by from small to large ordering, the node that energy is low carries out first the redundancy assessment according to the node primary power;
Step2: whether redundant with the redundant node judging rules decision node that proposes in the literary composition;
Step3: if node redundancy is then waited for Prepare after time to enter resting state, node is not redundant, then still is operating state;
Step4: prepare to enter the node of resting state, inform message RAM if receive redundancy, just carry out the redundancy assessment, assessment does not satisfy condition, and enters operating state, and assessment satisfies condition, and then broadcasts redundancy and informs message RAM, and enter resting state.
CN2013101038586A 2013-03-28 2013-03-28 Node redundancy detection method for heterogeneous sensor network Pending CN103313298A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN2013101038586A CN103313298A (en) 2013-03-28 2013-03-28 Node redundancy detection method for heterogeneous sensor network

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN2013101038586A CN103313298A (en) 2013-03-28 2013-03-28 Node redundancy detection method for heterogeneous sensor network

Publications (1)

Publication Number Publication Date
CN103313298A true CN103313298A (en) 2013-09-18

Family

ID=49137971

Family Applications (1)

Application Number Title Priority Date Filing Date
CN2013101038586A Pending CN103313298A (en) 2013-03-28 2013-03-28 Node redundancy detection method for heterogeneous sensor network

Country Status (1)

Country Link
CN (1) CN103313298A (en)

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104284453A (en) * 2014-10-30 2015-01-14 扬州大学 Networking method for wireless sensor network with few redundant links
CN107911828A (en) * 2017-11-15 2018-04-13 中国人民解放军国防科技大学 Deployment method using unmanned aerial mobile platform as base station cluster
CN110267323A (en) * 2019-05-21 2019-09-20 杭州电子科技大学 A kind of connection target K covering method based on adjustable the perception radius model
CN111757443A (en) * 2020-06-29 2020-10-09 中国联合网络通信集团有限公司 Node dormancy method, system, terminal device and computer readable storage medium
CN111836282A (en) * 2020-06-28 2020-10-27 中南大学 Three-dimensional WSN node scheduling method and storage medium
CN113965297A (en) * 2021-08-30 2022-01-21 国网山东省电力公司信息通信公司 Power communication network redundant node state scheduling method and system

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101917777A (en) * 2010-08-03 2010-12-15 北京航空航天大学 Wireless sensor network node sleep qualification judging method based on cooperation between neighboring nodes
CN103002590A (en) * 2012-11-23 2013-03-27 南京邮电大学 Scheduling method of directed nodes in wireless sensor network

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101917777A (en) * 2010-08-03 2010-12-15 北京航空航天大学 Wireless sensor network node sleep qualification judging method based on cooperation between neighboring nodes
CN103002590A (en) * 2012-11-23 2013-03-27 南京邮电大学 Scheduling method of directed nodes in wireless sensor network

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
TIAN D,GEORGANAS N: "Location and calculation-free node-scheduling schemes in large wireless sensor networks", 《AD HOC NETWORKS》 *

Cited By (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104284453A (en) * 2014-10-30 2015-01-14 扬州大学 Networking method for wireless sensor network with few redundant links
CN104284453B (en) * 2014-10-30 2018-10-23 扬州大学 A kind of networking method of wireless sensor network of less redundant link
CN107911828A (en) * 2017-11-15 2018-04-13 中国人民解放军国防科技大学 Deployment method using unmanned aerial mobile platform as base station cluster
CN107911828B (en) * 2017-11-15 2021-02-05 中国人民解放军国防科技大学 Deployment method using unmanned aerial mobile platform as base station cluster
CN110267323A (en) * 2019-05-21 2019-09-20 杭州电子科技大学 A kind of connection target K covering method based on adjustable the perception radius model
CN111836282A (en) * 2020-06-28 2020-10-27 中南大学 Three-dimensional WSN node scheduling method and storage medium
CN111757443A (en) * 2020-06-29 2020-10-09 中国联合网络通信集团有限公司 Node dormancy method, system, terminal device and computer readable storage medium
CN113965297A (en) * 2021-08-30 2022-01-21 国网山东省电力公司信息通信公司 Power communication network redundant node state scheduling method and system
CN113965297B (en) * 2021-08-30 2023-10-03 国网山东省电力公司信息通信公司 Power communication network redundant node state scheduling method and system

Similar Documents

Publication Publication Date Title
CN103313298A (en) Node redundancy detection method for heterogeneous sensor network
Pasolini et al. Smart city pilot projects using LoRa and IEEE802. 15.4 technologies
Abdollahzadeh et al. Deployment strategies in the wireless sensor network: A comprehensive review
Bagci et al. An energy aware fuzzy approach to unequal clustering in wireless sensor networks
Lin et al. TADP: Enabling temporal and distantial priority scheduling for on-demand charging architecture in wireless rechargeable sensor networks
Chang et al. Obstacle-resistant deployment algorithms for wireless sensor networks
Liu et al. Distributed clustering algorithms for data-gathering in wireless mobile sensor networks
Lee et al. Modeling and optimization of energy efficient routing in wireless sensor networks
CN102281608B (en) Wireless sensor network clustering routing method based on fuzzy control
CN106507423A (en) A kind of wireless sensor network routing method based on the reachable domain of dynamic
Marks A survey of multi-objective deployment in wireless sensor networks
CN104135752B (en) A kind of wireless sensor network cluster head node system of selection and cluster-dividing method
Chen et al. Artificial intelligence-empowered path selection: A survey of ant colony optimization for static and mobile sensor networks
Chen et al. Speed control of mobile chargers serving wireless rechargeable networks
CN102938892A (en) Method for designing cross-layer protocol for cognitive wireless sensor network
CN110087273A (en) The method of Wireless sensor network clustering routing, wireless sensor network protocols platform
CN103002590A (en) Scheduling method of directed nodes in wireless sensor network
Patil et al. Some issues in clustering algorithms for wireless sensor networks
Bhakare et al. An energy-efficient grid based clustering topology for a wireless sensor network
CN101917777B (en) Wireless sensor network node sleep qualification judging method based on cooperation between neighboring nodes
Cho et al. Towards persistent surveillance and reconnaissance using a connected swarm of multiple UAVs
Xu et al. GSMS: a barrier coverage algorithm for joint surveillance quality and network lifetime in WSNs
Mohiddin et al. Energy‐Efficient Enhancement for the Prediction‐Based Scheduling Algorithm for the Improvement of Network Lifetime in WSNs
Curiac et al. Urban traffic control system architecture based on wireless sensor-actuator networks
Singh et al. Analysis of lifetime of wireless sensor network with base station moving on different paths

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C02 Deemed withdrawal of patent application after publication (patent law 2001)
WD01 Invention patent application deemed withdrawn after publication

Application publication date: 20130918