Wireless sensor network (WSN) has been widely used due to its vastrange of applications. The energy problem is one of the important problems influencingthe complete application. Sensor nodes use very small batteries a...Wireless sensor network (WSN) has been widely used due to its vastrange of applications. The energy problem is one of the important problems influencingthe complete application. Sensor nodes use very small batteries as a powersource and replacing them is not an easy task. With this restriction, the sensornodes must conserve their energy and extend the network lifetime as long as possible.Also, these limits motivate much of the research to suggest solutions in alllayers of the protocol stack to save energy. So, energy management efficiencybecomes a key requirement in WSN design. The efficiency of these networks ishighly dependent on routing protocols directly affecting the network lifetime.Clustering is one of the most popular techniques preferred in routing operations.In this work we propose a novel energy-efficient protocol for WSN based on a batalgorithm called ECO-BAT (Energy Consumption Optimization with BAT algorithmfor WSN) to prolong the network lifetime. We use an objective function thatgenerates an optimal number of sensor clusters with cluster heads (CH) to minimizeenergy consumption. The performance of the proposed approach is comparedwith Low-Energy Adaptive Clustering Hierarchy (LEACH) and EnergyEfficient cluster formation in wireless sensor networks based on the Multi-Objective Bat algorithm (EEMOB) protocols. The results obtained are interestingin terms of energy-saving and prolongation of the network lifetime.展开更多
为使无线传感器网络(wireless sensor networks,WSNs)节点能量消耗相对均衡,提出了一种能量均衡的可移动sink汇聚节点非均匀分簇路由协议(sink mobility based and energy balancing unequal clustering protocol,SEBUCP)。协议采用改...为使无线传感器网络(wireless sensor networks,WSNs)节点能量消耗相对均衡,提出了一种能量均衡的可移动sink汇聚节点非均匀分簇路由协议(sink mobility based and energy balancing unequal clustering protocol,SEBUCP)。协议采用改进的混合蛙跳算法,将剩余能量大、通信能力强的节点选为簇头并划分不同大小的簇,在簇头之间引入竞争机制,使分簇拓扑更加合理;为减少簇头更换频率,簇内采用簇头连续担任机制,通过对比节点权值确定簇头交换时机,并运用贪婪算法,在簇头和sink之间选择最优中继节点;为进一步减少节点能量消耗,采用sink汇聚节点可移动方式,避免了热点问题的出现。仿真结果表明,SEBUCP在网络生存周期、能量均衡等方面具有较好的性能。展开更多
文摘Wireless sensor network (WSN) has been widely used due to its vastrange of applications. The energy problem is one of the important problems influencingthe complete application. Sensor nodes use very small batteries as a powersource and replacing them is not an easy task. With this restriction, the sensornodes must conserve their energy and extend the network lifetime as long as possible.Also, these limits motivate much of the research to suggest solutions in alllayers of the protocol stack to save energy. So, energy management efficiencybecomes a key requirement in WSN design. The efficiency of these networks ishighly dependent on routing protocols directly affecting the network lifetime.Clustering is one of the most popular techniques preferred in routing operations.In this work we propose a novel energy-efficient protocol for WSN based on a batalgorithm called ECO-BAT (Energy Consumption Optimization with BAT algorithmfor WSN) to prolong the network lifetime. We use an objective function thatgenerates an optimal number of sensor clusters with cluster heads (CH) to minimizeenergy consumption. The performance of the proposed approach is comparedwith Low-Energy Adaptive Clustering Hierarchy (LEACH) and EnergyEfficient cluster formation in wireless sensor networks based on the Multi-Objective Bat algorithm (EEMOB) protocols. The results obtained are interestingin terms of energy-saving and prolongation of the network lifetime.
文摘为使无线传感器网络(wireless sensor networks,WSNs)节点能量消耗相对均衡,提出了一种能量均衡的可移动sink汇聚节点非均匀分簇路由协议(sink mobility based and energy balancing unequal clustering protocol,SEBUCP)。协议采用改进的混合蛙跳算法,将剩余能量大、通信能力强的节点选为簇头并划分不同大小的簇,在簇头之间引入竞争机制,使分簇拓扑更加合理;为减少簇头更换频率,簇内采用簇头连续担任机制,通过对比节点权值确定簇头交换时机,并运用贪婪算法,在簇头和sink之间选择最优中继节点;为进一步减少节点能量消耗,采用sink汇聚节点可移动方式,避免了热点问题的出现。仿真结果表明,SEBUCP在网络生存周期、能量均衡等方面具有较好的性能。
