A Survey On Energy Aware CSI For Distributed Randomized K-Covered WSN

Abstract In Wireless Sensor Network each sensor is powered with battery life. Energy consumption plays an important role in WSN. Network life is prolonged by enhancing the energy conservation. The geographical forwarding and k coverage is used together to analyze the energy and the battery life. The sleep awake scheduling algorithm is used where energy loss takes place so a distributed k covered randomized algorithm is used to improve the battery life and energy. The k coverage covers the maximum area with minimum number of sensors. Example for k coverage is planet exploration multi sensor data etc. The k coverage plays an important role by minimizing energy and determining the number of active sensor for the required k coverage field. Geographic forwarding is used for passing the data from source to destination when forwarding the data it assumes that all sensors are active but it is unrealistic in real world application where the sensors are switched on and off. The work carried out in this paper focuses on providing a minimum energy duty cycling protocol to prolong the battery life and energy efficient geographic forwarding.