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IMLBTR Based Localization of Wireless Sensor Network in the Wild

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Wireless Sensor Network consists of spatially distributed autonomous sensors to monitor physical or environmental conditions such as temperature, pressure, sound etc. A sensor system deployed in a forest area, shows that localization in the wild remains very challenging due to various interfering factors such as fire risk evaluation, canopy closure estimation, climatic observation, as well as search and rescue in the wild .In many applications of wireless sensor networks their location is an important information. It can be used to determine the location at which sensor readings originate, in the routing region as well as in the data storage protocols based on geographical areas. Location information can be obtained from manual settings or from GPS devices. Since both of these approaches are expensive and time consuming they not applicable to localization task of large scale wireless sensor networks. An accurate and efficient algorithm called, Iterative Multilateral Localization Based on Time Rounds (IMLBTR) is used, to reduce the location error and to prevent the abnormal phenomenon caused by trilateral localization. The experimental result is then compared with Combined and Differentiated Approach. By using QoS Multicast Routing Protocol/MQOSPF, the parameters such as accuracy, throughput, energy efficiency, packet delivery ratio, overhead, lifetime, and delay are improved.