Localization in Wireless Sensor Networks for Accurate Event Detection

Localization in Wireless Sensor Networks for Accurate Event Detection

Amit Sharma, Pradeep Kumar Singh
DOI: 10.4018/IJHISI.20210701.oa5
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Abstract

Event detection at its initial stage is considerably most demanding and more importantly challenging to reduce the causes and damages. The GPS-enabled sensor nodes are possibly a solution for the location estimation, but having GPS receiver in each sensor node makes the network costly. In this paper, the authors have presented a UNL, unknown node localization, method for the estimation of sensor location. The proposed method is based on RSSI, and there is no requirement of extra hardware and communication of data among the sensor nodes. The experiments are conducted in order to investigate the localization accuracy of UNL method, and they analyzed that the proposed method is simple as there is less computation and communication overhead. The proposed algorithm is further compared with other existing localization methods for the accurate estimation of unknown nodes. The experimental results show the effectiveness of the algorithm and its capability for locating the unknown nodes in a network more accurately.
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2. Background

Localization may be conceived as the process to determine the locations of devices connected within a network, such as a WSN. WSN comprises a large number of sensor nodes that are deployed in an area of interest for the measurement of any phenomenon (Maddumabandara et al., 2015). The prime objective of localization is to compute the target location. The use of global positioning system (GPS) is not realistic in this application context; therefore, sensors are required to self-organize a coordinate system. Localization is the estimated unknown node position through communication between localized nodes and un-localized nodes. The routing services heavily rely on the location information of the sensor nodes.

A sensor network localization algorithm (Han et al., 2016; Patwari et al., 2005) typically entails three main phases:

  • 1.

    Distance Estimation

  • 2.

    Computation of Position

  • 3.

    Localization Algorithm

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