基于模糊控制的低能耗分簇协议

计算机工程与科学

基于模糊控制的低能耗分簇协议

王灵矫1，2,彭志强1，2,郭华1，2,钟益群1，2

(1．湘潭大学信息工程学院，湖南湘潭 411105；

2.湘潭大学智能计算与信息处理教育部重点实验室，湖南湘潭 411105）

收稿日期:2015-09-14 修回日期:2015-11-05 出版日期:2016-10-25 发布日期:2016-10-25
基金资助:
国家自然科学基金（61100215）；湘潭大学项目（kz08051）

A low power clustering protocol based on fuzzy control

WANG Lingjiao1,2 ,PENG Zhiqiang1,2,GUO Hua1,2,ZHONG Yiqun1,2

(1.School of Information Engineering,Xiangtan University,Xiangtan 411105;

2.Key Laboratory of Intelligent Computing & Information Processing of

Ministry of Education,Xiangtan University,Xiangtan 411105,China)

Received:2015-09-14 Revised:2015-11-05 Online:2016-10-25 Published:2016-10-25

摘要/Abstract

摘要：

能耗是影响无线传感器网络生命周期的关键，具有低能耗的无线传感器网络是业界所期望的。现有的几个网络分簇协议能在一定程度上解决和改善网络能耗问题。如LEACH协议能在一定程度上延长网络生命周期，但网络环境的可变性以及实际环境中有诸多不可估计的因素，LEACH协议就没考虑当前节点剩余能量和节点分布情况等问题。提出的基于模糊控制的低能耗分簇协议LECP-FC能较好地解决环境可变等不可估计的问题，在簇头选取的过程中着重考虑了能量、节点度、节点中心度、距离、侦听密度等因子。经过网络结构配置和仿真，其结果表明网络工作效率得到很大程度上的提高。

关键词: 无线传感器网络, 低能耗, 模糊控制, 分簇, LEACH, 节点度

Abstract:

Energy consumption is the key factor affecting the network lifecycle in wireless sensor networks, so low power consumption is expected for the industry. Several existing network clustering protocols, such as LEACH protocol, can solve and reduce network energy consumption to some extent. Although they can prolong the life cycle of the network to a certain extent, there are yet many incalculable factors in the network environment and actual environment. LEACH protocol ignores the residual energy of the current node and the node distribution situation. In this regard, we present a low power clustering protocol based on fuzzy control (LECPFC) to solve the aforementioned problems. In the process of selecting cluster heads, node energy, node degree, node center, distance and listen density etc. are focused. Network configuration and simulation results show that the proposed protocol can greatly improve the work efficiency of the network.

Key words: wireless sensor networks, low power consumption, fuzzy control, clustering,
low energy adaptive clustering hierarchy(LEACH), node degree

王灵矫1，2,彭志强1，2,郭华1，2,钟益群1，2. 基于模糊控制的低能耗分簇协议[J]. 计算机工程与科学.

WANG Lingjiao1,2,PENG Zhiqiang1,2,GUO Hua1,2,ZHONG Yiqun1,2. A low power clustering protocol based on fuzzy control[J]. Computer Engineering & Science.

参考文献

［1］Dahiya R,Arora A K,Singh V R.Modelling the energy efficient sensor nodes for wireless sensor networks［J］.Journal of The Institution of Engineers,2014,3(12):21062250.

［2］Nithya A S,Saraswathi D K.A survey of routing protocols in wireless sensor networks［J］.International Journal of Mechanical Engineering and Information Technology,2015,3(3):10541060.

［3］Mezghani O,Abdellaoui M.Improving network lifetime with mobile leach protocol for wireless sensors network［C］∥

Proc of
2014 15th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA),2014:613619.

［4］Zanjireh M M,Shahrabi A,Larijani H.A new clustering algorithm for wireless sensor networks［C］∥Proc of
2013 27th International Conference on Advanced Information Networking and Applications Workshops (WAINA),2013:450455.

［5］Azharuddin M,Kuila P,Jana P K.A distributed fault tolerant clustering algorithm for wireless sensor networks［C］∥
Proc of 2013 International Conference on Advances in Computing,Communications and Informatics (ICACCI),2013:9971002.

［6］Karthikeyan T,Audithan S.An enhanced adaptive reclustering protocol in wireless sensor network［C］∥
Proc of 2014 2nd International Conference on Current Trends in Engineering and Technology (ICCTET),2014:418422.

［7］Zhang Aili, Liang Yuzhu. Improvement of leach protocol for wireless sensor networks ［C］∥
Proc of
2013 3rd International Conference on Instrumentation,Measurement,Computer,Communication and Control (IMCCC),2013,322326.

［8］Wang Gang, Wang Changshan. Leach protocol cluster head node selected improvement strategy ［J］.Microelectronics & Computer,2009(7):254256.(in Chinese)

［9］Gupta I,Riordan D,Sampalli S.Cluster head election using fuzzy logic for wireless sensor networks［C］∥
Proc of
the 3rd Annual on Communication Networksand Services Research Conference,2005:255260.

［10］Kim J M,Park S H,Han Y J,et al.CHEF cluster head election mechanism using fuzzy logic in wireless sensor networks［C］∥

Proc of the 10th International Conference on Advanced Communication Technology,2008:654659.

［11］Hu Y,Shen X R,Kang Z H.Energy efficient cluster head selection in clustering routing for wireless sensor networks［C］∥

Proc of the 5th International Conference on Wireless Communications,Networking and Mobile Computing,2009:14.

［12］Mostafa,Saad C,Abderrahmane H.Fuzzy logic approach to improving stable election protocol for clustered heterogeneous wireless sensor networks［J］.Journal of Theoretical & Applied Information Technology,2014,14(1):112116.

［13］Shi Xinmin,Hao Zhengqing.Fuzzy control and matlab simulation ［M］.Beijing:Tsinghua University Press,2008.(in Chinese)

［14］Liu Yingxin,Wang Weiyao.Analytic hierarchy process and its application recalculation ［J］.Journal of Shenyang University (Natural Science),2014,26(5):372375.

［15］Saaty T Y. Decisin making the analytic hierarchy and net work processes［J］.Journl of Systems Science and Systems Engineering,2004,1(13):135.

［16］Xu J,Qin D D.A new leach based routing clustering protocol in wsn［J］.Journal of Information and Computational Science,2013,10(18):60056011.

［17］Zhang Ling.Reciprocal judgement matrix consistency judgment in some problems ［D］.Changsha:Central South University,2013.(in Chinese)

［18］Jiang Zhenghua.AHP mutual cks new method of judgement matrix consistency adjustment ［J］.Journal of Nanjing University (Mathematical),2013,30(2):224237.(in Chinese)

［19］Fareed M S,Javaid N,Akbar M,et al.Rehman S.Optimal number of cluster head selection for efficient distribution of sources in wsns［C］∥

Proc of the 2012 7th International Conference on Broadband, Wireless, Computing, Commu

nication and Applications (BWCCA),2012:632637.

［20］Lindsey S, Raghavendra C S. Power efficient gathering in sensor information systems［C］∥Proc of Aerospace Conference,2002:11251130.

附中文参考文献：

［8］王刚，王长山.Leach协议簇头节点选取策略的改进［J］.微电子学与计算机,2009(7):254256.

［13］石辛民，郝整清.模糊控制及其MATLAB仿真［M］.北京:清华大学出版社,2008.

［14］刘莹昕，王威尧.层次分析法的权重计算及其应用［J］.沈阳大学学报(自然科学版),2014(5):372375.

［17］张玲.互反判断矩阵一致性判别中若干问题研究［D］.长沙:中南大学,2013.

［18］江正华.AHP中正互反判断矩阵一致性调整的新方法［J］.南京大学学报(数学半年刊),2013,30（2）:224237.

[1]	罗仕杭, 何庆. 多策略融合改进的均衡优化算法及其应用[J]. 计算机工程与科学, 2023, 45(08): 1508-1520.
[2]	赵玉华, 贾向东, 胡海霞, 敬乐天. 无人机辅助的无线传感网络AoI最小化方案研究[J]. 计算机工程与科学, 2022, 44(07): 1216-1222.
[3]	张孟健, 汪敏, 王霄, 覃涛, 杨靖, . 混合粒子群-蝴蝶算法的WSN节点部署研究[J]. 计算机工程与科学, 2022, 44(06): 1013-1022.
[4]	高航, 吴嘉鑫, 陈龙, 武继刚. QoS保障下的无人机传感网安全通信路径规划[J]. 计算机工程与科学, 2022, 44(06): 1037-1045.
[5]	苟平章, 原晨, 张芬. 基于软件定义的WSNs非均匀分簇QoS路由算法[J]. 计算机工程与科学, 2022, 44(02): 227-236.
[6]	张晶, 魏淼, . 基于Delaunay三角划分策略的WSN区域覆盖优化研究[J]. 计算机工程与科学, 2021, 43(11): 1944-1951.
[7]	魏连锁, 陈齐齐, 韩建, 苏扬. 一种基于区域分裂与合并的势博弈网络拓扑控制算法[J]. 计算机工程与科学, 2021, 43(11): 2063-2068.
[8]	苟平章, 刘学治, 孙梦源, 何博. 基于跳距修正与狮群优化的WSNs三维定位算法[J]. 计算机工程与科学, 2021, 43(08): 1405-1412.
[9]	周静, 关玉蓉. 基于SDN的DWSN技术分析及性能优化研究[J]. 计算机工程与科学, 2021, 43(08): 1413-1421.
[10]	宋玲, 黄达胜. 一种基于狼群优化的改进DV_Hop定位算法[J]. 计算机工程与科学, 2021, 43(07): 1210-1218.
[11]	王俊喜, 陈桂芬. 能耗均衡的多跳多路径认知分层路由算法[J]. 计算机工程与科学, 2021, 43(03): 442-448.
[12]	张华南, 金红, 王峰. 无线传感器网络节能探索与研究[J]. 计算机工程与科学, 2021, 43(02): 295-303.
[13]	苟平章，张芬，毛刚，贾向东. 基于AGNES聚类的能耗均衡WSNs优化路由算法[J]. 计算机工程与科学, 2020, 42(04): 620-627.
[14]	胡震海，王立松. 抗窃听攻击的传感器网络空间范围聚集查询处理算法[J]. 计算机工程与科学, 2020, 42(01): 46-54.
[15]	张华南1,金红2. 基于连通支配集的无线传感器网络洪泛协议[J]. 计算机工程与科学, 2019, 41(12): 2143-2153.