Energy Efficient Clustering Schemes for Wireless Sensor Networks
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Abstract
Advancements in low-power electronic devices integrated with wireless communication
newlinecapabilities are one of recent areas of research in the field of Wireless Sensor Networks
newline(WSNs). WSNs consist of spatially distributed autonomous sensors capable of sensing,
newlinedata processing and transmitting the information. Sensors are distributed over a region
newlineof interest either through some random or strategic methods to observe some
newlinephenomenon and transmit the desired information. Considerable amount of work have
newlineenabled the design, implementation and deployment of these sensor networks to meet
newlinethe unique requirement of sensing and monitoring in real time applications. One of the
newlinemajor challenges in WSNs is uniform and least energy dissipation while increasing the
newlinelifetime of the network. The nodes with higher energy dissipation lead to early death
newlineleaving a percentage of area unattended for the entire lifetime of the network. Several
newlinealgorithms have been designed for efficient energy management of nodes in WSNs
newlineusing clustering schemes. In clustering, the nodes can be grouped into clusters each
newlinehaving a co-ordinator called cluster head (CH) responsible for collecting the data from
newlineall the nodes present in each cluster. This leads to effective management and energy
newlineefficient data transfer between the nodes and the sink. A sink is a node with unlimited
newlineenergy and is responsible for collection of data from all the CHs present in the network.
newlineThe selection of cluster heads can be an important task which involves a number of
newlinecriteria to be considered such as received signal strength, residual energy, node degree,
newlinedistance from the sink etc. The thesis outlines and proposes the energy efficient
newlineclustering schemes in WSN. The work has been classified into eight chapters, which are
newlinesummarized below.
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