Localization in wireless sensor networks: A Dempster-Shafer evidence theoretical approach

Abstract

This paper proposes a data fusion technique aimed at achieving highly accurate localization in a wireless sensor network with low computational cost. This is accomplished by fusing multiple types of sensor measurement data including received signal strength and angle of arrival. The proposed method incorporates a powerful data fusion technique, one that has never before been used in low cost localization of a stationary node, known as Dempster-Shafer Evidence Theory. Many useful functions of this theory, including sampling, aggregation, and plausibility, are integrated into the localization method. From there, the algorithm determines whether a set of given measurements belong to a particular county. Motivated by the exible nature of Dempster-Shafer Theory, a multitude of network setups and combinations of available measurement features are tested to verify the performance of the proposed method. Performance of the proposed approach is evaluated using numerical results obtained from extensive simulations. When compared with the results of existing approaches in similarly constructed scenarios, the proposed localization technique achieves up to 98% accuracy in less than a tenth of the run-time required under presently established algorithms.

Design and deployment of a smart system for data gathering in aquaculture tanks using wireless sensor networks

“…Comparing with traditional sampling and analysis procedure in chemical laboratory, WSNs offer several advantages. 16,17 The use of those sensors in marine environments leads much more problems. Other advantages are related to the real-time monitoring and the possibility of taking intelligent decisions.…”

“…But these nodes could be deployed in a changing medium, and in that case, we would need to locate the sensors. 16,17 The use of those sensors in marine environments leads much more problems. Some WSN applications in marine environments are the following ones: pollution tracking, 18 water quality monitoring, 19 or precision aquaculture.…”

Application of Wireless Sensor in Automatic Device

“…In the use of distance measurement, it is necessary to ensure strict time synchronization, and at the same time, the ultrasonic will be affected by NLOS (non line of sight) propagation. Although the positioning precision based on the positioning algorithm has higher requirements, the nodes maintain strict clock synchronization [5]. The degree of precision of the equipment has a very high demand, and the cost of positioning is high, so it is rarely used at present.…”

An Optimal Localization Algorithm of Wireless Sensor Networks

“…Because of less requirement for hardware, the non range location algorithm is suitable for large-scale wireless ad hoc networks and sensor networks [2][3]. In this paper, based on the in-depth research and analysis of Range-free location algorithm, the proximity degree of two neighbor nodes is combined with neighbor partition, and a location algorithm based on proximity is proposed.…”