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Abstract
Wireless sensor network (WSN) is an infrastructure comprising of thousands of wireless sensor nodes that are spread over a geographical area so as to instrument, observe and react to events in that particular environment. Sensor networks are the key for smart environments, analyzing events in buildings, utilities, industrial, home, shipboard, transportation systems automation or elsewhere. The reliability of WSN is affected by faults that may occur due to various reasons such as malfunctioning hardware, software glitches, dislocation, or environmental hazards. In WSN, localization of sensors is the key issue, as collected data from sensors is useful only if the position of a sensor is known. Location information will also help in avoiding faults in the network and improving performance of tasks such as routing, energy conservation, and data aggregation. Knowing the precise location of a sensor is very important. Localization algorithms require techniques for location estimating depending on the beacon nodes location. These are called multi-lateration(ML) techniques. The work makes use of proximity technique and fault information signal to get localization details.     Â
Keywords: fault information signal, localization, proximity technique, wireless sensor networks.##plugins.themes.academic_pro.article.details##
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