Abstract
Aimed at solving the problem of local divergence and low data accuracy, this paper introduces a new Time Difference of Arrival(TDOA)-based localization algorithm (TBL) for the large-scale, high-density wireless sensor networks which are designed for real-time surveillance and unexpected incidents management. In particular, several means to improve the accuracy of distance measurement are investigated, and the TDOA method, based on the sound wave and electromagnetic wave to locate in the large-scale WSN, is discussed. Also, the well-designed circular location process has the advantage of better positioning accuracy and coverage percentage. Simulation results have confirmed the effectiveness of the formed TBL algorithm.
Highlights
Ad hoc wireless sensor network has recently attracted much interest in the wireless research community as a fundamentally new tool for a wide range of monitoring and data-gathering applications
We propose a time difference of arrival (TDOA)-based localization scheme for wireless sensor networks and validate the scheme by simulation
Our scheme mitigates the effect of multipath fading by measuring TDoA over multiple beacon intervals
Summary
Ad hoc wireless sensor network has recently attracted much interest in the wireless research community as a fundamentally new tool for a wide range of monitoring and data-gathering applications. New technology offers new opportunities, but it introduces new problems. This is true for sensor networks where the capabilities of individual nodes are very limited. Cooperation between nodes is required, but energy conservation is a major concern, which implies that communication should be minimized. These conflicting objectives require outstanding solutions for many situations [1,2,3]
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