Soon Chung (Committee Member), Shih-ta Hsiang (Committee Member), Yong Pei (Advisor), Bin Wang (Committee Member), Zhiqiang Wu (Committee Member)
Doctor of Philosophy (PhD)
Image Video Sensor Networks are emerging applications for sensor network technologies. The relatively large size of the data collected by image video sensors presents new challenges for the sensor network in terms of energy consumption and channel capacity. We address each of these issues through the use of a high density network deployment utilizing some nodes as dedicated relay nodes.
A high density network allows network nodes to reduce their transmission power. This reduction in transmission power allows each node to conserve power and simultaneously increases the potential for spatially concurrent transmissions within the network, resulting in improved network throughputs. The use of additional relay nodes may further increase the potential for such spatially concurrent transmissions, without increasing the relay burden for each node by maintaining the same number of data generating sources in the network.
In this work, we show analytically how a high density network effects energy consumption and network capacity. We discuss the constraints placed on a high density sensor network deployment due to application latency requirements, sensor coverage requirements, connectivity requirements, and node costs.
Furthermore, we implement an Image/Video Sensor Web, an Internet enabled testbed for studying the implementation of a high density network deployment for Image/Video Sensor Networks. We utilize this testbed to verify our analytical energy results, and to study the reliable data delivery requirements necessary to successfully deploy an Image/Video Sensor Network.
Department or Program
Department of Computer Science and Engineering
Year Degree Awarded
Copyright 2008, all rights reserved. This open access ETD is published by Wright State University and OhioLINK.