Development of software system for localization of stationary wireless sensor nodes
Abstract
Localization is an important task when direct measurements of the wireless sensor locations are not available. A typical example of such case is in monitoring of events in a battlefield, where thousands of wireless sensors are airborne deployed. Effective localization software can use available information from wireless sensor to infer position of individual node. From the various techniques evolved in localizing wireless sensor nodes, one approach is to use the received signal strength to predict the location of unknown sensing devices. In this thesis, a localization software system was developed, presented and tested based on the passive localization algorithm concepts. Localization of wireless sensors is categorized in three different scenarios. In scenario-I, localization is done for sensors which are within the communication range of at least three head nodes. In scenario-II, localization is done for sensors within the communication range of two head nodes. In scenario-III, localization is done for sensors which are within the communication range of only one head node. The three different scenarios were tested for accuracy by simulation. The localization software system shall be able to find the location of the sensing nodes with respect to their associated head nodes such that the information can be used for applications like target detection, target identification etc. The developed software system was also tested for accuracy on test-bed established using the crossbow (MICAz) hardware and found that the location estimation was accurate up to twenty meters range. The system development, the simulation results and hardware testing of the localization software is presented in this thesis report.
Subject Area
Electrical engineering
Recommended Citation
Vinayak Elangovan,
"Development of software system for localization of stationary wireless sensor nodes"
(2008).
ETD Collection for Tennessee State University.
Paper AAI1456772.
https://digitalscholarship.tnstate.edu/dissertations/AAI1456772