Issues and Challenges in Cluster Management of Wireless Sensor Network

摘要

Increasing interest in using wireless sensor networks (WSNs) in many applications. In these applications, tiny sensors are deployed and left unattended. Reports transmitted by these sensors are collected base stations. The dense deployment and unattended nature of WSNs make it quite difficult to recharge node batteries. Therefore, energy efficiency, limited memory, data aggregation, unreliable connectivity and security are the major issues in Wireless Sensor devices. To improving the exactness of the reported measurements, data aggregation reduces the communication overhead in the network, In order to support data aggregation through efficient network organization; nodes can be partitioned into a number of small groups called clusters. Each cluster has a coordinator, referred to as a cluster head, and a number of member nodes. Clustering has proven to be an effective approach for organizing the network into a connected hierarchy and also improve network lifetime, a primary metric for evaluating the performance of a sensor network. This paper highlights the issues and challenges in cluster formation of wireless sensor network [1]. I present general classification of published clustering schemes and different clustering algorithms for WSNs [2]. I also compare of these clustering algorithms based on metrics such as cluster stability, cluster overlapping, and location awareness.