A Safe Neighbor Discovery Method Based on Hop Count Difference and Local Listening

A neighbor discovery and neighbor technology, applied in the field of wireless sensor networks, can solve problems such as insufficient wormhole detection performance, and achieve the effect of avoiding energy consumption, reducing energy consumption and improving the success rate.

Active Publication Date: 2020-04-21
SICHUAN UNIV
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AI Technical Summary

Problems solved by technology

[0009] The purpose of the present invention is to solve the problem that the wormhole detection performance of the existing safe neighbor discovery technology without hardware equipment is not good enough

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  • A Safe Neighbor Discovery Method Based on Hop Count Difference and Local Listening
  • A Safe Neighbor Discovery Method Based on Hop Count Difference and Local Listening
  • A Safe Neighbor Discovery Method Based on Hop Count Difference and Local Listening

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Embodiment Construction

[0034] The present invention adopts the method of hop count difference and local monitoring to detect wormholes, which are specifically divided into detecting wormholes formed by external malicious nodes by using hop count differences, and detecting wormholes formed by internal malicious nodes by using local monitoring. The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0035] The present invention can roughly be divided into two stages, which are respectively a neighbor discovery stage and a neighbor verification stage. Among them, the neighbor verification stage can be divided into external wormhole detection and neighbor relationship correction and internal wormhole detection and neighbor relationship correction.

[0036] The first is the first stage.

[0037] After the nodes are deployed, all nodes will perform neighbor discovery. Due to the possibility of wormholes, the ...

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Abstract

The invention discloses a safe neighbor discovery method based on hop count difference and local monitoring. According to the different reasons for the formation of wormholes, the wormholes are divided into wormholes with long links formed by external malicious nodes and wormholes with short links formed by internal malicious nodes. For wormholes formed by external malicious nodes, the present invention applies the hop count difference to the unique neighbors of the nodes to detect and correct the wormhole relationship; for wormholes formed by internal malicious nodes, the present invention utilizes local monitoring, through The vote of the witness nodes is used to detect and correct the neighbor relationship. The invention solves the problem that the existing safe neighbor discovery technology without additional hardware has a low success rate in detecting wormholes, and greatly improves the performance of safe neighbor discovery.

Description

[0001] 1. Technical field [0002] The invention relates to the technical field of wireless sensor networks, in particular to the discovery of safe neighbors in the sensor network, in particular to a method for discovering safe neighbors in wireless sensor networks based on hop difference and local monitoring. [0003] 2. Background technology [0004] Due to the advantages of low cost, easy deployment, real-time monitoring of some physical information of the target, and the ability to replace human beings working in harsh environments for a long time, wireless sensor networks have been widely used. The wireless sensor network originally originated from the army. By deploying a large number of wireless sensor nodes to the enemy's positions, the military can monitor the enemy's actions and important information such as the enemy's arms distribution in real time, which is conducive to the military to take timely and effective action measures. However, deploying wireless sensor ne...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L29/06H04W12/02H04W12/12H04W84/18H04W12/122
CPCH04L63/1441H04L63/30H04W12/02H04W12/12H04W84/18
Inventor 陈良银李淼张靖宇程艳红王浩刘诗佳李旭孙伟杰张斯尚陈海祥卢峰郑伟超
Owner SICHUAN UNIV
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