Clustering Methodologies and Their Implications in Sensor Networks

Aradhya, Mohan; Sumithradevi, K. A.; Dharani, Andhe; Singh, Vijay

doi:10.1007/978-3-642-35615-5_26

Cited by 2 publications

(1 citation statement)

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“…Hybrid Energy Efficient Distributed (HEED) [14] clustering algorithm is designed to select different cluster heads in a field according to the amount of energy that is distributed to a neighboring node. HEED is pursuing four goals as a routing protocol [27]; (1) prolonging network life-time by distributing energy consumption, (2) terminating the clustering process within a constant number of iterations/steps, (3) minimizing control overhead, and (4) producing well-distributed cluster heads and compact clusters. To select the cluster head nodes, the sensor node's residual energy and the intra cluster communication cost are used for the procedure [15].…”

Section: Hybrid Energy Efficient Distributed (Heed) Clustering Protocolmentioning

confidence: 99%

Comparison Studies of Hierarchical Cluster-Based Routing Protocols in Wireless Sensor Networks

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EPiC Series in Computing

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The usage of the appropriate routing protocol algorithm in wireless sensor network (WSN) research is an important issue. Depending upon the deployed network topology, routing protocols can be classified in many ways including hierarchical cluster-based routing protocol. The hierarchical cluster-based routing protocol is pursuing an energy- efficient way to reduce the overall energy consumption within the monitoring cluster area by performing data aggregation along with data fusion. The objective of this study is to present a state-of-the-art survey on selected hierarchical cluster-based routing protocols in WSNs. In this paper, hierarchical cluster-based routing protocol algorithms are reviewed and compared with their advantages and disadvantages along with their main contributions. Additionally, each hierarchical cluster-based routing protocol algorithm is analyzed by comparing the measurement parameters of their performance.

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Section: Hybrid Energy Efficient Distributed (Heed) Clustering Protocolmentioning

confidence: 99%