Identification and localization of event sources in WSN using binary data in fault tolerant way

This paper examines the problem of identification and localization of event sources in the sensor network. In real life applications the localization is a challenging task because of many constraints on a wireless sensors i.e. sensor node (also called as note) such as short range of communication, short range of sensing, very short amount of storage space and also limited computational capability. We propose a methodology by which we can make the localization task easier. This methodology uses the binary observations of sensor nodes and informs the location of event source to the sink node. Also the system should operate in presence of faults. This is called fault tolerance. The trustworthiness of wireless sensor networks (WSN) is influenced by faults that may cause because of various factors like disturbance, software and hardware defects, ecological harsh conditions, etc. The system proposed in this paper works well in presence of faults as we are masking the faults at the starting of localization phase.