The strategy proposed here is energy efficient due to the use of heterogeneous nodes of suitable sensing ranges. Energy is conserved by selecting an optimal set of nodes to provide the required coverage. We validate our claims through both analysis and simulations. | ISSN:2249-5789 Asha et al, International Journal of Computer Science & Communication Networks,Vol 6(2),98-108 Energy Harvesting by Intelligent Node Placement in WSN Asha and Lingareddy2 1 Research Scholar , Research and development Center ,Bharathiar University ,Coiambatore India. 2 HOD of Computer Science and Engineering,Alpha College of Engineering ,Bangalore India. 1 Email ashapn0311@. Email sclingareddy@ 1 Abstract following features: (i) Sensor node is equipped with an additional processing and sensing component. (ii) It can perform tasks of sensing and communication simultaneously. (iii) Sensor nodes mainly use broadcast communication. (iv) The control of WSN through a base station enables monitoring regions where human intervention is not , a WSN consists of a set of sensor nodes and a base station [1]. A sensor node is embedded with unreplacable battery, a sensing unit that detects an event within its sensing range and an antenna (omnidirectional or unidirectional). Base stations are special nodes with unlimited battery power. They possess the ability to collect information from the sensor nodes. A heterogeneous network differs from a homogeneous network in having nodes with varying sensing basic characteristic of WSN is dense node deployment which facilitates reliability and longer network lifetime. The lifetime of a network is the time during which surface coverage is maintained. WSN is data-centric ., it is concerned with the sensed data rather than the node that senses the data (node-centric) or the path taken to transfer the data to the base station. Two approaches based on the working of WSN are event driven and data driven. In event driven, a node jumps into action when it detects an event in its sensing area and reports the same to the base station, as seen in applications like forest fire detection. In data driven approach, base station queries the sensor nodes at regular .
