Impact of gang attack on energy efficiency performance in Wireless Sensor Networks using spatial correlation method

To monitor the physical observable fact Wireless Sensor Networks (WSNs) can be deployed in a wide space with acceptable accuracy and reliability. The entities monitored by WSNs are temperature, pressure, humidity, salinity, metallic object, mobility. The capabilities of WSNs are used in military, commercial, environmental applications. Numerous battery powered devices are available in WSNs but the designing aspect of energy efficient protocols are significant. The proposed work deals with security aspect in WSNs. Injected false data at sink level is a threat to WSNs security system. When the false data is injected at sink, it creates a problem when updating the information at base station and also to filter the false data. False data injection leads to energy wastage in WSNs architecture. To minimize the energy wastage and to reduce the false data injection at sink node, a novel method is proposed which drops the packets at node level and also in the sink level with key management technique. Gang attack based scheme is preferred than the other existing methods and the results are taken using network simulator (NS2) tool.