An Elaborative Literature of Hierarchical Clustering Methodologies for Dense WSNs
International Journal of Multidisciplinary Research Hub, Vol. 3, Iss. 11, 2016
Posted: 27 Dec 2016
Date Written: Novemeber 6, 2016
Each sensor node communicates wirelessly with a few other local nodes within its radio communication range. Sensor networks extend the existing Internet deep into the physical environment. The resulting new networks is orders of magnitude more expansive and dynamic than the current TCP/IP network and is creating entirely new types of traffic that are quite different from what one finds on the Internet now. Information collected by and transmitted on a sensor network describes conditions of physical environments-for example, temperature, humidity, or vibration and requires advanced query interfaces and search engines to effectively support user-level functions. Clustering goes behind some advantages like network scalability, localizing route setup, uses communication bandwidth efficiently and takes advantage of network lifetime. By the data aggregation process, unnecessary communication between sensor nodes, cluster head and the base station is evaded. This paper gives an elaborative literature of hierarchical clustering methodologies for dense WSNs.
Keywords: Distributed Clustering Algorithm, Clustering, Aggregation, Cluster Head, Base Station, Coverage Based Clustering, Energy Efficiency and Network Lifetime
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