Date of Publication :29th March 2018

Abstract: Energy consumption is one of the leading constraints of the wireless sensor node and this limitation combined with the typical positioning of large number of nodes have added many challenges to the design and management of wireless sensor network. Wireless sensor network is at this moment receiving substantial consideration due to their unlimited potential, so in the last few years wireless sensor networks have extended attention from both the research group and actual users. A fundamental challenge in the design of WSN is to enhance the network lifetime, as each sensor node of the network is equipped with a limited power battery. Nodes are placed in a hostile or unpractical environment so very difficult to change or recharging the battery. To overcome this challenge, different methods were developed in the last few years using such techniques as network protocols, data fusion algorithms using low power, energy efficient routing, and locating optimal sink position. In this paper, we do certain exploration of Energy Conscious Native Monitoring in Sensor Networks. This deals with Sleep-Wakeup management, further sectioned into three classes On-demand, Scheduled rendezvous and Asynchronous. The result shows that the performance of the network is increased based on the lifetime of the network and packet delivery ratio

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