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一种基于能量和密度的低功耗自适应集簇分层协议的优化
引用本文:唐延枝,李莉,邵玮璐,梁燕,彭张节.一种基于能量和密度的低功耗自适应集簇分层协议的优化[J].上海师范大学学报(自然科学版),2019,48(1):1-6.
作者姓名:唐延枝  李莉  邵玮璐  梁燕  彭张节
作者单位:上海师范大学信息与机电工程学院;东南大学信息与工程学院移动通信国家重点实验室
基金项目:国家自然科学基金青年基金(61701307);上海高校青年教师培养资助计划(ZZssd16044);上海师范大学校级一般项目(SK201716)
摘    要:根据经典的低功耗自适应集簇分层(LEACH)协议,提出了一种新型的簇首节点选择机制,通过加权思想综合考虑了节点的剩余能量和密度参数来优化簇首节点的选择,权衡簇首节点负载均衡和网络生存时间之间的关系,以得到较为理想的加权因子.仿真结果表明:在仿真区域面积为100 m×100 m、节点数目为100的条件下,相比于LEACH算法,该算法将第一个节点的死亡时间延长了19.6%,并且500轮后,网络中的剩余节点数是LEACH算法的5倍多,改善了节点能耗,有效提高了整个网络的生命周期.

关 键 词:无线传感网(WSN)    低功耗自适应集簇分层(LEACH)算法    网络寿命    簇首节点选取
收稿时间:2018/12/25 0:00:00

An improvement of LEACH protocol based on energy and density
TANG Yanzhi,LI Li,SHAO Weilu,LIANG Yan and PENG Zhangjie.An improvement of LEACH protocol based on energy and density[J].Journal of Shanghai Normal University(Natural Sciences),2019,48(1):1-6.
Authors:TANG Yanzhi  LI Li  SHAO Weilu  LIANG Yan and PENG Zhangjie
Institution:College of Information, Mechanical and Electrical Engineering, Shanghai Normal University, Shanghai 200234, China,College of Information, Mechanical and Electrical Engineering, Shanghai Normal University, Shanghai 200234, China,College of Information, Mechanical and Electrical Engineering, Shanghai Normal University, Shanghai 200234, China,College of Information, Mechanical and Electrical Engineering, Shanghai Normal University, Shanghai 200234, China and College of Information, Mechanical and Electrical Engineering, Shanghai Normal University, Shanghai 200234, China;National Mobile Communication Research Laboratory, School of Information Science and Engineering, Southeast University, Nanjing 211189, Jiangsu, China
Abstract:A new cluster head selection mechanism was proposed according to the classical low energy adaptive clustering hierarchy(LEACH) protocol.In the new algorithm,the cluster head selection was optimized by considering residual energy of nodes and density parameters of nodes comprehensively.Meanwhile,the relationship between cluster head load balancing and network lifetime was weighed to get an optimum weighting factor.The simulation results showed that,compared with LEACH algorithm,the proposed algorithm prolonged the death time of the first node by 19.6% when the simulation area was 100 m×100 m and the number of nodes was 100.The number of remaining nodes in the network after 500 rounds was more than 5 times that of LEACH algorithm,which improved the energy consumption of nodes and the whole network lifetime effectively.
Keywords:wireless sensor network (WSN)  low energy adaptive clustering hierarchy (LEACH) algorithm  network lifetime  cluster head selection
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