The majority of apps that are a part of current living are built on wireless sensor networks (WSN). Applications for WSN include everything from blood-sugar level indicators in hospital intensive care units to fire alarms in contemporary structures.
Motes, which are teeny, mobile, battery-powered sensor nodes equipped with a microprocessor, a sensing device, and a radio for transmission, are used to build these networks. Such networks provide challenges for the network designers to meet the needs of the application because of their growing complexity and diverse applications. In this article, clustering and energy consumption are analysed, and a network lifespan analytical model is presented. Using MAC layer beacon signalling, the proposed model examines energy overhead that happened during cluster setup time in the network. On the basis of read operations per minute in TinyOS devices, it also measures energy usage in clusters in steady state. Then, based on cluster size and steady state duration, it provides a relationship between the two in order to achieve and evenly consume battery power across all nodes in order to maximise network lifetime.
Key words: WSN, Clustering, Energy, MAC Sub-layer, Frame, Network Lifetime
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