Boundary Marking of Phenomenon using Wireless Sensor Networks

Boundary Marking of Phenomenon using Wireless Sensor Networks

Bibliographic Details
Main Author: Kelkar, Harshvardhan
Language:English
Published: University of Cincinnati / OhioLINK 2009
Subjects:
Computer Science
Boundary detection
Boundary marking
Online Access:http://rave.ohiolink.edu/etdc/view?acc_num=ucin1258666674
id ndltd-OhioLink-oai-etd.ohiolink.edu-ucin1258666674
record_format oai_dc
spelling ndltd-OhioLink-oai-etd.ohiolink.edu-ucin12586666742021-08-03T06:13:37Z Boundary Marking of Phenomenon using Wireless Sensor Networks Kelkar, Harshvardhan Computer Science Boundary detection Boundary marking Wireless sensors networks (WSN's) provide ubiquitous and distributed sensing of data for a single or multiple phenomenon. Wireless sensor device is generally small in size and is cost effective. These characteristics of a WSN are ideal for use in determining boundary of phenomenon in different scenarios. However,often such boundaries are camouflaged or covered by cloud, fog, heavy forest, orsmoke. For example, the use of modern tanks and different types of explosives frequently cause a cloud of smoke in the battlefield which tends to disperse in a wider area. From the strategic point of view, it is important to determine the accurate region of on-ground actions which are hidden from sophisticated satellite data or areal pictures. Here, we propose an approximation method of determining the minimum number of sensors to cover a given percentage ofthe boundary of the phenomena. The approximated model of the problem is mapped to filling n bins problem which is solved by a Markov chain with an absorption state. Then, we solve the problem for two specific sensor deployment distributions: uniform and Gaussian. We obtain closed form solution for uniform distribution and a simple solution for the Gaussian case. We validate our solutions with extensive simulation results and investigate the accuracy of ourapproximated model. Our results can be used as a lower bound for an actual sensor deployment for boundary detection and provide valuable information for other statistical simulations related to the boundary estimation. 2009 English text University of Cincinnati / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=ucin1258666674 http://rave.ohiolink.edu/etdc/view?acc_num=ucin1258666674 unrestricted This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws.
collection NDLTD
language English
sources NDLTD
topic Computer Science
Boundary detection
Boundary marking
spellingShingle Computer Science
Boundary detection
Boundary marking
Kelkar, Harshvardhan
Boundary Marking of Phenomenon using Wireless Sensor Networks
author Kelkar, Harshvardhan
author_facet Kelkar, Harshvardhan
author_sort Kelkar, Harshvardhan
title Boundary Marking of Phenomenon using Wireless Sensor Networks
title_short Boundary Marking of Phenomenon using Wireless Sensor Networks
title_full Boundary Marking of Phenomenon using Wireless Sensor Networks
title_fullStr Boundary Marking of Phenomenon using Wireless Sensor Networks
title_full_unstemmed Boundary Marking of Phenomenon using Wireless Sensor Networks
title_sort boundary marking of phenomenon using wireless sensor networks
publisher University of Cincinnati / OhioLINK
publishDate 2009
url http://rave.ohiolink.edu/etdc/view?acc_num=ucin1258666674
work_keys_str_mv AT kelkarharshvardhan boundarymarkingofphenomenonusingwirelesssensornetworks
_version_ 1719433083984281600

Similar Items