Fuzzy-Based Clustering Solution for Hot Spot Problem in Wireless Sensor Networks

被引:0
作者
Naghibzadeh, Mahmoud [1 ]
Taheri, Hoda [2 ]
Neamatollahi, Peyman [3 ]
机构
[1] Islamic Azad Univ, Dept Comp Engn, Mashhad Branch, Mashhad, Iran
[2] Islamic Azad Univ, Mashhad Branch, Young Researchers & Elite Club, Mashhad, Iran
[3] Ferdowsi Univ Mashhad, Fac Engn, Dept Comp Engn, Mashhad, Iran
来源
2014 7TH INTERNATIONAL SYMPOSIUM ON TELECOMMUNICATIONS (IST) | 2014年
关键词
Wireless sensor networks; unequal clustering; hot spot problem; fuzzy logic; network lifetime; energy-efficiency; ENERGY-EFFICIENT; PROTOCOL;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Clustering is an effective approach for organizing network nodes into hierarchical topology, aggregating sending data to the base station and prolonging the network lifetime. However, it may cause sudden death of nodes in some network regions, i.e., hot spots, due to heavy traffic load leading to disruption in network services. This problem is traditional for data collection scenarios in which Cluster Heads (CHs) are responsible of gathering and relaying the sensed data. To balance the workload over the nodes, the CH role must be rotated among all nodes and the cluster size should be determined such that uniformly distribute the energy consumption in network. In this paper, we propose a clustering algorithm that selects the nodes with highest remaining energy in each region as candidate CHs in order to pick the best nodes among them as final CHs. To consider the hot spot issue it employs fuzzy logic in order to adjust the cluster radius of CH nodes based on some local information (distance to base station and local density). Simulation results show that the proposed approach achieves an improvement in terms of network lifetime through mitigating the hot spot problem.
引用
收藏
页码:729 / 734
页数:6
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