Mobile assistance WSNs routing method based on unequal clustering

Abstract

The invention provides a mobile assistance WSNs routing method based on unequal clustering, comprising an initial phase, a clustering phase, an RPs (rendezvous points) determining phase and a routing phase. The initial phase is a network deployment phase and determines the movement track of a sink. The clustering phase considers factors such as the distance gradient between a point and a mobile sink, the rest energy of a candidate cluster head, etc. The RPs determining phase discusses the selection number and width of an RPs set, and specific sets, and simplifies a 0-1 integer programming model specific to the selection problem of an RP salve cluster head point set, wherein an approximately optimal RPs slave point set of an integer programming solution is obtained through a genetic algorithm. The routing phase employs multiple levels of routing, wherein the cluster head collects cluster member message data (including data fusion) and plays the role of a relay point, and PRs buffer messages transmitted by cluster head points into the mobile sink.

Description

technical field [0001] The invention belongs to the technical field of wireless sensor networks, and in particular relates to a non-uniform clustering-based mobile assistance WSNs routing method. Background technique [0002] As an interdisciplinary subject, wireless sensor network mainly involves radio communication technology, sensor technology, embedded microprocessor technology, information security technology and so on. In recent years, it has been widely used in many fields, including military industry (such as the US C4ISRT system), aviation, commerce, biomedicine, anti-terrorism and anti-riot, environmental protection, etc. However, due to the energy limitation of WSNs, wireless sensor networks are limited and developed. How to reduce energy consumption is currently a research hotspot in WSNs. At present, in the routing design of WSNs, experts and scholars not only pay attention to the energy consumption caused by data transmission, but also pay attention to the im...

AI Technical Summary

Problems solved by technology

The defect of LEACH: in a large-scale network, the cluster far away from the sink communicates directly with the sink, which may easily lead to energy exhaustion and failure

However, when there are too many forwarding hops of node data, the energy consumption of WSNs will increase, resulting in a decrease in network performance.

Using the mobile assistance strategy can reduce the forwarding hops of node data, but the large delay prevents the message data from being delivered to the sink in time

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