摘要
针对无线传感网中存在的节点能量受限,网络循环利用周期短,吞吐量少等问题,提出了一种能量高效的无线传感器网络分簇算法——KAF(K-means and FAH)。算法初始阶段基于改进的K均值(Kmeans)聚类获得网络分簇;利用模糊层次综合评价(FAHP)方法,根据节点能量、距基站的距离、节点能量效率等因素优化簇首选择;在数据传输阶段,根据传输距离、能量、跳数等因素构建节点多跳路由方式,有效减少了节点在数据传输时的能量消耗。仿真实验表明:相比于LEACH-K,KPSO等其他分簇路由协议,KAF对减少节点能耗,延长网络生命周期,增加网络吞吐量等方面均有明显改进。
Aiming at the problem such as node energy is limited, network cycle is short and the throughput is low, an energy-efficient wireless sensor networks routing protocol based on clustering is proposed. In initial stage, the improved K-means cluster are used to obtain network clustering. The cluster head selection is optimized by using the fuzzy comprehensive evaluation（FCE） and analytic hierarchy process（AHP） called FAHP ,according to node energy, distance to base station, energy efficiency of node and other factors to optimize cluster head choise. In data transmission phase, construct multi-hop routing mode for node based on transmission distance, energy, hop number ,which reduces the node energy consumption in data transmission effectively. Simulation results show that KAF has superior performance in reducing node energy consumption, extend network life cycle, increase network throughput, compared with LEACH-K , KPSO and other clustering routing protocols.
作者
贾惠丽
范训礼
吕艳峰
JIA Hui-li;FAN Xun-li;LU Yan-feng(School of Information Science and Technology,Northwest University,Xi＇ an 710127,Shanxi,China)
出处
《传感器与微系统》
CSCD
2018年第8期116-119,共4页
Transducer and Microsystem Technologies
基金
陕西省自然科学基金资助项目(2014KW03-02)
国家自然科学基金资助项目(61503300)
关键词
无线传感器网络
分簇
K均值
模糊层次综合评价法
多跳路由
高能效
wireless sensor networks （WSNs）
clustering
K-means
fuzzy analytical hierarchy process （AHP）
multi-hop routing
high energy efficiency
