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Research On Energy Balanceof Sensor Network

Posted on:2021-09-14Degree:MasterType:Thesis
Country:ChinaCandidate:Y F FengFull Text:PDF
GTID:2492306560450154Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
The sensor network is an important medium to realize the interconnection of all things in the information age,an important foundation for various industries to move towards informationization and modernization,and the beginning of informationize social life.The automatic control of the smart grid is inseparable from the improvement and development of technology of wireless sensor network(WSN).In wireless sensor networks,energy is an important factor that limits network life and affects network reliability.Under the condition that the original energy is constant,the balance and saving of energy consumption become the key to maximize the use of wireless sensor networks.Among many wireless sensor network routing protocols,Low Energy Adaptive Clustering Hierarchy(LEACH)can effectively reduce the energy consumption of the network and extend the service life of the network.The LEACH protocol randomly selects cluster heads every round,so that the wireless sensor network forms a flowing cluster head during each round,avoiding the overload of a single node and preventing premature failure of key nodes due to frequent use.However,the protocol did not consider the individual differences of nodes and the operating energy consumption under different network topologies,and ignored the remaining energy differences caused by the energy consumption of different nodes in the operation of wireless sensor networks.This paper considers the performance indicators of the network,combines the energy and life model of the sensor network,and proposes the concept of energy intermediary,and forms a clustering protocol for energy consumption balance through energy intermediary and intelligent algorithm.First,the operating characteristics and basic technical support of wireless sensor networks are introduced.The performance evaluation indexes and energy lifetime of the network are reviewed,and the failure nodes of each round are selected as the characteristic parameters of the energy balance routing protocol in this paper.The characteristics of typical routing algorithms are analyzed and compared in detail to determine the direction of improvement.The number of failed nodes and the distribution of failed nodes in each round characterize the superiority of the protocol in balancing energy consumption,improving performance,and extending life.Second,establish a clustering protocol model based on energy and intervening numbers.Based on the basic model of clustering protocol,analyze the intermediary centrality of nodes in the network.Through the calculation of the optimal number of cluster heads and the centrality analysis of the node energy betweenness,the objective function of the energy consumption balance of the routing protocol is formed.Thirdly,the principle of the beetle whisker algorithm is studied,and the improved beetle beard algorithm based on the simulated annealing algorithm is proposed to address its shortcomings.The above algorithm is used to solve the objective function mentioned above,forming a new clustering routing protocol,LEACH-EB protocol.The protocol first performs random pre-clustering,and then uses the beetle-whisker algorithm to find nodes that are conducive to energy balance in the pre-clustering to become the cluster head.According to the simulation results,the LEACH-EB protocol based on energy and betweenness makes the operation energy consumption in the network more balanced.Compared with the original protocol,the LEACH-EB protocol performs better in terms of reliability and stability.This protocol greatly reduces the additional energy loss caused by uneven clustering,and avoids the degradation of network performance caused by premature aging of some nodes Extend the life of wireless sensor networks.
Keywords/Search Tags:wireless sensor network, cluster routing, energy consumptions, LEACH, Intelligent power distribution
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