Design and Development of COA-Leach: A well-organized Energy Hypothesize Constructed on Energy Price Demonstrating in Wireless Sensor Network

Abstract

Wireless Sensor Network (WSN) consists of huge collection of small, battery-powered sensor nodes. Advancements in the WSN give a new scope and dimension for implementing WSN in real-time applications. WSN is inexpensively implemented in the desired area to monitor space, things, and the interaction between the things and encompassing space such as surveillance, intelligent alarm, pipeline and location monitoring, natural disaster monitoring, etc. For processing, transmission and aggregation of data for the aforementioned monitoring functions, nodes consume more energy. This becomes a daunting challenge for WSN, since WSNs are limited with the limited power, processing time and storage capacity. In order to overcome resource constraints, authors of this article proposed a new comprehensive energy postulate that depends on the energy cost modeling named Cyclic Optimized Approach–LEACH (COA-LEACH). The model is constructed through thorough examinations of energy spend in a working WSN for deployment. The decision made in the deployment of nodes explicitly affects the sensing quality as well as the energy consumption of the entire network. Authors mainly focused on the self-rearrange for identification of the neighbor, which is useful for the energy conservation. The proposed generalized model is validated by experimented through spotting toxic gas and also authors in sighted the energy requirement for both the existing and proposed energy model.

Keywords

Wireless sensor network, node deployment, Poisson distribution, energy model, data aggregation, lifetime of sensor nodes.

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