A Practical Localization Algorithm Based on Wireless Sensor Networks

TL;DR

This paper introduces a practical wireless sensor network-based localization algorithm that improves accuracy without extra hardware, suitable for various indoor and outdoor applications.

Contribution

The proposed method effectively balances localization accuracy and hardware cost, using a two-phase approach with region partitioning and refinement, demonstrated through a real demo system.

Findings

Improved localization accuracy demonstrated in experiments

Cost-effective solution without additional hardware

Effective for both indoor and outdoor environments

Abstract

Many localization algorithms and systems have been developed by means of wireless sensor networks for both indoor and outdoor environments. To achieve higher localization accuracy, extra hardware equipments are utilized by most of the existing localization algorithms, which increase the cost and greatly limit the range of location-based applications. In this paper we present a method which can effectively meet different localization accuracy requirements of most indoor and outdoor location services in realistic applications. Our algorithm is composed of two phases: partition phase, in which the target region is split into small grids and localization refinement phase in which a higher accuracy location can be generated by applying a trick algorithm. A realistic demo system using our algorithm has been developed to illustrate its feasibility and availability. The results show that our algorithm can improve the localization accuracy.