Target localization in wireless sensor networks based on received signal strength
S. N. Bharadwaj, S. N. Jagadeesha, and S. Ravindra

TL;DR
This paper presents a grid mapping approach for localizing a target in wireless sensor networks using received signal strength, analyzing how beacon range and quantity affect localization accuracy through simulations.
Contribution
It introduces a novel grid mapping method for target localization based on binary beacon detection data and studies the impact of beacon range and number on uncertainty.
Findings
Localization accuracy improves with more beacons.
Optimal sensing radius reduces uncertainty.
Simulation results highlight the importance of beacon placement.
Abstract
We consider the problem of localizing a target taking the help of a set of anchor beacon nodes.A small number of beacon nodes are deployed at known locations in the area.The target can detect a beacon provided it happens to lie within the beacons's transmission range.Thus, the target contains a measurement vector containing the readings of the beacons: '1' corresponding to a beacon if it is able to detect the target and '0' if the beacon is not able to detect the target.The goal is two fold: to determine the location of the target based on the binary measurement vector at the target and to study the behavior of the localization uncertainty as a function of the beacon transmission range and the number of beacons deployed.Beacon transmission range means signal strength of the beacon to transmit and receive the signals which is called as Received Signal Strength.To localize the target, we…
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Taxonomy
TopicsDistributed Sensor Networks and Detection Algorithms · Energy Efficient Wireless Sensor Networks · Indoor and Outdoor Localization Technologies
