CN105792212A - Fair probability marking based trace tracking method in wireless sensor network - Google Patents

Fair probability marking based trace tracking method in wireless sensor network Download PDF

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Publication number
CN105792212A
CN105792212A CN201610110659.1A CN201610110659A CN105792212A CN 105792212 A CN105792212 A CN 105792212A CN 201610110659 A CN201610110659 A CN 201610110659A CN 105792212 A CN105792212 A CN 105792212A
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node
packet
probability
base station
sensor network
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CN105792212B (en
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刘潇
刘安丰
刘语欣
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Central South University
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Central South University
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W12/00Security arrangements; Authentication; Protecting privacy or anonymity
    • H04W12/12Detection or prevention of fraud
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W84/00Network topologies
    • H04W84/18Self-organising networks, e.g. ad-hoc networks or sensor networks

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Computer Security & Cryptography (AREA)
  • Mobile Radio Communication Systems (AREA)
  • Small-Scale Networks (AREA)

Abstract

The present invention discloses a fair probability marking based trace tracking method in a wireless sensor network. The method is provided to solve the problem in the prior art that a two-dimensional plane wireless sensor network that is actually, most widely used is not marked fairly. Probabilities that the node marks the data packages are not equal. A probability that the node of a near base station marks passing data packages is low, and a probability that the node of a far base station marks the passing data packages is high, so that among all data packages that received by the base station, all nodes are marked by the same times, that is, each node is marked fairly. According to the method, a precise calculation formula for calculating the marking probability of any place from the base station is provided, the probability that each node marks the passing data packages can be determined rapidly, the method has strong adaptability, network trace tracking convergence time is reduced, and the network service life is prolonged significantly.

Description

Based on the tracing method of fair probabilistic packet marking in a kind of wireless sensor network
Technical field
The invention belongs to wireless sensor network security field, the special standby a kind of tracing method related in wireless sensor network based on fair probabilistic packet marking.
Background technology
Wireless sensor network is by the substantial amounts of wireless network consisted of in the way of self-organizing and multi-hop with the sensor node communicated multi-hop wireless link each other, industry monitoring can be applied to widely, agricultural, civilian, environmental monitoring, battlefield, ocean, the various special environment such as fire with in application, it is believed that be one of following Key technology of important internet of things.The safety problem of wireless sensor network is the research topic that a class is important.Wherein tracing problem is a kind of important mechanisms ensureing safety in wireless sensor network, and its research has great importance.
Tracing is a kind of important mechanisms ensureing wireless sensor network security.Its principle is in the process that packet transmits toward base station, by the packet plus the identification number information of routing node, namely label information.Afterwards if it occur that attack, then system by the path of the vertical packet process of the information reconstruction of these labellings, can may thereby determine that possible malicious node.In packet marking method, the sign information of oneself is added in packet (being called flag data bag) by each node that the method started most is on packet routed path.The deficiency of this method is as packet and carries out to the route of base station, and the length of packet is more and more longer, and when reaching before base station, the length of packet reaches greatest length.And the energy of sensor network interior joint is extremely limited, and generally can not recharge.And nearly base station area exists the hot spot region that energy expenditure is very high, thus more increase the weight of the energy expenditure of network, accelerate the death in advance of network.This method has been improved by research subsequently, it is proposed that a kind of probabilistic packet marking method.The improvement of probabilistic packet marking method is each node packet with certain probabilistic packet marking process, such that it is able to reduce the length of packet.In the probabilistic packet marking method having been proposed that, the packet of each process is carry out labelling with equal probability by each node, and in this article, we claim this method to be equiprobability labeling method.Although equiprobability labeling method is equal to the probability of each packet marking, but in the packet that receives of base-station node, the labeled probability of node is not equal.Because, the data collection of wireless sensor network has the feature of " many-one ", thus closely the node of base station is often the convergent point of a plurality of route, thus assume responsibility for the routing forwarding of more data bag, although the probability to each packet marking is equal, but due to through many than remote base station of the packet of these nodes, thus base station receives the probability node more than remote base station area of the nearly base-station node of labelling in packet.The negative consequence that this situation causes is, when the person of being hacked is under attack, needing to collect more packet and just can obtain the packet with remote base-station node label information, namely so-called convergence time is longer, thus needing the longer time just to can determine that the position of malicious node.
Summary of the invention
The invention provides a kind of tracing method based on fair probabilistic packet marking in wireless sensor network, its object is to overcome each node in prior art all to adopt equal probabilities that passed packet is carried out labelling, cause the problem that wireless sensor network life is low, node energy consumption is too fast.
Based on the tracing method of fair probabilistic packet marking in a kind of wireless sensor network, in the tracing process of plane radio sensor network, the adjust the distance node at different distance place, base station of different vertex ticks probability is adopted to carry out vertex ticks to through the packet of this node so that the number of times arriving each node comprised in all packets of base station labeled is equal:
The node of nearly base station adopts relatively low vertex ticks probability, and the node away from base station adopts higher vertex ticks probability;
Described vertex ticks probability, refers to that packet is through node, and node sign information adds the probability of packet to;
Described node is labeled, and refers to that then this node is labeled in this packet when the packet arriving base station comprises certain node sign.
For the packet through this node being carried out apart from the node at different distance place, base station the vertex ticks probability τ of vertex ticksxCalculate as follows:
τ x = τ / ( ( z + 1 ) + z ( 1 + z ) r 2 x )
Wherein, τ is distance base station is the node of the farthest vertex ticks packet probability to carrying out labelling through the packet of this node, for wireless sensor network setting value,Representing downward bracket function, r represents the network service radius of plane radio sensor network, and R is network radius.
The node of distance farthest, base station does not accept data, a packet is only sent within a cycle, the probability of this vertex ticks packet is τ, the probability that the packet of this vertex ticks is received by base station is π, π=τ, namely the node of distance farthest, base station is identical to the probability that the marking probability of the packet through itself is labeled with this node in the packet reaching base station.
Beneficial effect
The present invention proposes a kind of tracing method in wireless sensor network based on fair probabilistic packet marking, the method of the plane radio sensor network justice labelling of 2 dimensions the most widely of practical application is not all proposed by the method in prior art, it is unequal probability when vertex ticks packet, the probability of the packet that the vertex ticks of nearly base station is passed is little, the probability of the packet that the vertex ticks of remote base station is passed is high, make in all packets that base station receives, the labeled number of times of each node is equal, namely makes each node by fair labelling;Method of the present invention provides the computing formula of marking probability at distance any distance place, base station accurately, it is possible to quickly determine that passed packet is carried out the probability of labelling by each node, and strong adaptability is obvious to the prolongation effect of network life.
Accompanying drawing explanation
Fig. 1 adopts the method for the invention and the concept labeling method such as existing under the labeled probability of the node set, the data volume schematic diagram that wireless sensor network interior joint corresponding to each method undertakes;
Fig. 2 adopts the method for the invention and the concept labeling method such as existing under the labeled probability of the node set, the energy expenditure schematic diagram of the wireless sensor network that each method is corresponding;
Fig. 3 adopts the method for the invention and the concept labeling method such as existing under the labeled probability of the node set, the network life schematic diagram of the wireless sensor network that each method is corresponding;
Fig. 4 adopts the method for the invention and the concept labeling method such as existing under the labeled probability of the node set, the convergence time schematic diagram of the wireless sensor network tracing that each method is corresponding.
Detailed description of the invention
Below in conjunction with drawings and Examples, the present invention is described further.
Based on the tracing method of fair probabilistic packet marking in a kind of wireless sensor network, in the tracing process of plane radio sensor network, the adjust the distance node at different distance place, base station of different vertex ticks probability is adopted to carry out vertex ticks to through the packet of this node so that the number of times arriving each node comprised in all packets of base station labeled is equal:
The node of nearly base station adopts relatively low vertex ticks probability, and the node away from base station adopts higher vertex ticks probability;
Described vertex ticks probability, refers to that packet is through node, and node sign information adds the probability of packet to;
Described node is labeled, and refers to that then this node is labeled in this packet when the packet arriving base station comprises certain node sign.
For the packet through this node being carried out apart from the node at different distance place, base station the vertex ticks probability τ of vertex ticksxCalculate as follows:
τ x = τ / ( ( z + 1 ) + z ( 1 + z ) r 2 x )
Wherein, τ is distance base station is the node of the farthest vertex ticks packet probability to carrying out labelling through the packet of this node, for wireless sensor network setting value,Representing downward bracket function, r represents the network service radius of plane radio sensor network, and R is network radius.
The node of distance farthest, base station does not accept data, a packet is only sent within a cycle, the probability of this vertex ticks packet is τ, the probability that the packet of this vertex ticks is received by base station is π, π=τ, namely the node of distance farthest, base station is identical to the probability that the marking probability of the packet through itself is labeled with this node in the packet reaching base station.
In this example, R=350 rice, r=50 rice.The experimental result of Fig. 1 and Fig. 2 gives the data volume undertaken of Different Strategies lower node, energy expenditure in planar network.It is that obtain it is concluded that the data volume that undertakes of fair labeling method lower node is little with energy expenditure.
From Fig. 3 can, when τ=0.1, fair labeling method is 1.21694 to 1.86098 times of equiprobability labeling method network life, and when τ=0.3, fair labeling method is 1.59309 to 3.37452 times of equiprobability labeling method network life.Illustrate that the performance of fair labeling method is better than equiprobability labeling method.
The convergence time of fair labeling method lower network tracing is less than equiprobability labeling method as can be seen from Figure 4.As network radius R=350m, the convergence time of fair labeling method lower network tracing is only the 0.3 of equiprobability labeling method convergence time, say, that reduce convergence time more than 60%.

Claims (2)

1. based on the tracing method of fair probabilistic packet marking in a wireless sensor network, it is characterized in that, in the tracing process of plane radio sensor network, the adjust the distance node at different distance place, base station of different vertex ticks probability is adopted to carry out vertex ticks to through the packet of this node so that the number of times arriving each node comprised in all packets of base station labeled is equal:
The node of nearly base station adopts relatively low vertex ticks probability, and the node away from base station adopts higher vertex ticks probability;
Described vertex ticks probability, refers to that packet is through node, and node sign information adds the probability of packet to;
Described node is labeled, and refers to that then this node is labeled in this packet when the packet arriving base station comprises certain node sign.
2. method according to claim 1, it is characterised in that for the packet through this node being carried out apart from the node at different distance place, base station the vertex ticks probability τ of vertex ticksxCalculate as follows:
τ x = τ / ( ( z + 1 ) + z ( 1 + z ) r 2 x )
Wherein, τ is distance base station is the node of the farthest vertex ticks packet probability to carrying out labelling through the packet of this node, for wireless sensor network setting value, Representing downward bracket function, r represents the network service radius of plane radio sensor network, and R is network radius.
CN201610110659.1A 2016-02-29 2016-02-29 A kind of tracing method based on fair probabilistic packet marking in wireless sensor network Expired - Fee Related CN105792212B (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112910851A (en) * 2021-01-16 2021-06-04 中国电子科技集团公司第十五研究所 Data packet marking and tracing device based on knowledge graph

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101873258A (en) * 2010-06-07 2010-10-27 清华大学 Probabilistic packet marking and attack source tracing method, system and device
CN103973801A (en) * 2014-05-19 2014-08-06 中南大学 Wireless sensor network source tracing and tracking method
CN105338570A (en) * 2015-10-08 2016-02-17 山东大学(威海) Wireless sensor network data traceablility method based on pseudorandom sequence

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101873258A (en) * 2010-06-07 2010-10-27 清华大学 Probabilistic packet marking and attack source tracing method, system and device
CN103973801A (en) * 2014-05-19 2014-08-06 中南大学 Wireless sensor network source tracing and tracking method
CN105338570A (en) * 2015-10-08 2016-02-17 山东大学(威海) Wireless sensor network data traceablility method based on pseudorandom sequence

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
CHAO CHEN: "an efficient traceback scheme in hierarchical wireless sensor network", 《SECURITY AND COMMUNICATION NETWORKS》 *
刘安丰: "Deployment guidelines for achieving maximum lifetime and avoiding energy holes in sensor network", 《INFORMATION SCIENCES》 *
刘语欣: "A novel joint logging and migrating traceback scheme for achieving low storage requirement and long lifetime in WSNs", 《AEU - INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS》 *
田红成: "一种快速且安全的概率标记追溯技术", 《清华大学学报(自然科学版)》 *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112910851A (en) * 2021-01-16 2021-06-04 中国电子科技集团公司第十五研究所 Data packet marking and tracing device based on knowledge graph

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