Crucial edge detection in sensor system under energy constraints

Wireless sensor nodes are usually deployed in remote locations for various applications that require monitoring of certain interesting events. Due to this remote operational feature the longevity of the sensor node's lifetime has been a primary concern. Although the sensor nodes available today...

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Main Author: Madhvesh, Ashok
Other Authors: Jaggi, Neeraj
Format: Others
Language:en_US
Published: Wichita State University 2010
Online Access:http://hdl.handle.net/10057/2507
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spelling ndltd-WICHITA-oai-soar.wichita.edu-10057-25072013-04-19T21:00:01ZCrucial edge detection in sensor system under energy constraintsMadhvesh, AshokWireless sensor nodes are usually deployed in remote locations for various applications that require monitoring of certain interesting events. Due to this remote operational feature the longevity of the sensor node's lifetime has been a primary concern. Although the sensor nodes available today may be equipped with rechargeable batteries, the minimal energy capacity of such batteries and low recharge rates degrade the sensor's lifetime and achievable performance. Hence, operational algorithms are needed to guarantee high performance with efficient utilization of energy available. In this thesis, considering temporally correlated event phenomena, the important question answered is: "How long should the sensor sleep, and for how long should the sensor stay active?". To achieve this, a sensor activation/deactivation algorithm has been developed that achieves high performance with efficient energy utilization. A sensor loses energy predominantly because of redundant transmissions of sensed data. To avoid this, a sensor was modeled to transmit only the changes sensed in the event-occurrence process, referred to as Crucial Edges or Transitions. In addition, the system model allows the transmission of transitions that are detected late. Several intuitive decision-making policies were compared and the results compared in order to determine the best policy for this problem. This policy was later analyzed usingMarkov chain analysis techniques to derive upper and lower bounds on the achievable performance. The proposed policy achieves high performance under energy balancing constraints, and is deterministic, simple and easy to implement on a sensor node.Thesis (M.S.)--Wichita State University, College of Engineering, Dept. of Electrical Engineering and Computer ScienceWichita State UniversityJaggi, Neeraj2010-09-01T15:12:04Z2010-09-01T15:12:04Z2009-12Thesisx, 65 p.791366 bytesapplication/pdft09069http://hdl.handle.net/10057/2507en_US
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language en_US
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description Wireless sensor nodes are usually deployed in remote locations for various applications that require monitoring of certain interesting events. Due to this remote operational feature the longevity of the sensor node's lifetime has been a primary concern. Although the sensor nodes available today may be equipped with rechargeable batteries, the minimal energy capacity of such batteries and low recharge rates degrade the sensor's lifetime and achievable performance. Hence, operational algorithms are needed to guarantee high performance with efficient utilization of energy available. In this thesis, considering temporally correlated event phenomena, the important question answered is: "How long should the sensor sleep, and for how long should the sensor stay active?". To achieve this, a sensor activation/deactivation algorithm has been developed that achieves high performance with efficient energy utilization. A sensor loses energy predominantly because of redundant transmissions of sensed data. To avoid this, a sensor was modeled to transmit only the changes sensed in the event-occurrence process, referred to as Crucial Edges or Transitions. In addition, the system model allows the transmission of transitions that are detected late. Several intuitive decision-making policies were compared and the results compared in order to determine the best policy for this problem. This policy was later analyzed usingMarkov chain analysis techniques to derive upper and lower bounds on the achievable performance. The proposed policy achieves high performance under energy balancing constraints, and is deterministic, simple and easy to implement on a sensor node. === Thesis (M.S.)--Wichita State University, College of Engineering, Dept. of Electrical Engineering and Computer Science
author2 Jaggi, Neeraj
author_facet Jaggi, Neeraj
Madhvesh, Ashok
author Madhvesh, Ashok
spellingShingle Madhvesh, Ashok
Crucial edge detection in sensor system under energy constraints
author_sort Madhvesh, Ashok
title Crucial edge detection in sensor system under energy constraints
title_short Crucial edge detection in sensor system under energy constraints
title_full Crucial edge detection in sensor system under energy constraints
title_fullStr Crucial edge detection in sensor system under energy constraints
title_full_unstemmed Crucial edge detection in sensor system under energy constraints
title_sort crucial edge detection in sensor system under energy constraints
publisher Wichita State University
publishDate 2010
url http://hdl.handle.net/10057/2507
work_keys_str_mv AT madhveshashok crucialedgedetectioninsensorsystemunderenergyconstraints
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