Nowadays, Wireless sensor network (WSN) exhibits growth in application such as disaster management, wildlife monitoring and military surveillance. As the environment is unfriendly, human cannot access the place to sensor monitory or to deploy the sensor in this applications. Hence, the sensor must be deployed remotely and to be operated in a robotic mode. The nearby nodes are linked to produce a cluster without disjoint or overlap to aid scalability. From the different published WSN clustering method, clustering attributes classification are projected in this paper. The clustering methods are compared depending on the measures like uniform clustering, position awareness, sensor mobility, efficient energy-based, cluster stability, clusters overlap.

WSN; Energy; Clustering; CH (key words)

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