Bayes Node Energy Polynomial Distribution to Improve Routing in Wireless Sensor Network.

Wireless Sensor Network monitor and control the physical world via large number of small, low-priced sensor nodes. Existing method on Wireless Sensor Network (WSN) presented sensed data communication through continuous data collection resulting in higher delay and energy consumption. To conquer the...

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Main Authors: Thirumoorthy Palanisamy, Karthikeyan N Krishnasamy
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2015-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC4591332?pdf=render
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spelling doaj-85137c392ec3437d964c6bd30316c2d12020-11-24T21:30:30ZengPublic Library of Science (PLoS)PLoS ONE1932-62032015-01-011010e013893210.1371/journal.pone.0138932Bayes Node Energy Polynomial Distribution to Improve Routing in Wireless Sensor Network.Thirumoorthy PalanisamyKarthikeyan N KrishnasamyWireless Sensor Network monitor and control the physical world via large number of small, low-priced sensor nodes. Existing method on Wireless Sensor Network (WSN) presented sensed data communication through continuous data collection resulting in higher delay and energy consumption. To conquer the routing issue and reduce energy drain rate, Bayes Node Energy and Polynomial Distribution (BNEPD) technique is introduced with energy aware routing in the wireless sensor network. The Bayes Node Energy Distribution initially distributes the sensor nodes that detect an object of similar event (i.e., temperature, pressure, flow) into specific regions with the application of Bayes rule. The object detection of similar events is accomplished based on the bayes probabilities and is sent to the sink node resulting in minimizing the energy consumption. Next, the Polynomial Regression Function is applied to the target object of similar events considered for different sensors are combined. They are based on the minimum and maximum value of object events and are transferred to the sink node. Finally, the Poly Distribute algorithm effectively distributes the sensor nodes. The energy efficient routing path for each sensor nodes are created by data aggregation at the sink based on polynomial regression function which reduces the energy drain rate with minimum communication overhead. Experimental performance is evaluated using Dodgers Loop Sensor Data Set from UCI repository. Simulation results show that the proposed distribution algorithm significantly reduce the node energy drain rate and ensure fairness among different users reducing the communication overhead.http://europepmc.org/articles/PMC4591332?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Thirumoorthy Palanisamy
Karthikeyan N Krishnasamy
spellingShingle Thirumoorthy Palanisamy
Karthikeyan N Krishnasamy
Bayes Node Energy Polynomial Distribution to Improve Routing in Wireless Sensor Network.
PLoS ONE
author_facet Thirumoorthy Palanisamy
Karthikeyan N Krishnasamy
author_sort Thirumoorthy Palanisamy
title Bayes Node Energy Polynomial Distribution to Improve Routing in Wireless Sensor Network.
title_short Bayes Node Energy Polynomial Distribution to Improve Routing in Wireless Sensor Network.
title_full Bayes Node Energy Polynomial Distribution to Improve Routing in Wireless Sensor Network.
title_fullStr Bayes Node Energy Polynomial Distribution to Improve Routing in Wireless Sensor Network.
title_full_unstemmed Bayes Node Energy Polynomial Distribution to Improve Routing in Wireless Sensor Network.
title_sort bayes node energy polynomial distribution to improve routing in wireless sensor network.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2015-01-01
description Wireless Sensor Network monitor and control the physical world via large number of small, low-priced sensor nodes. Existing method on Wireless Sensor Network (WSN) presented sensed data communication through continuous data collection resulting in higher delay and energy consumption. To conquer the routing issue and reduce energy drain rate, Bayes Node Energy and Polynomial Distribution (BNEPD) technique is introduced with energy aware routing in the wireless sensor network. The Bayes Node Energy Distribution initially distributes the sensor nodes that detect an object of similar event (i.e., temperature, pressure, flow) into specific regions with the application of Bayes rule. The object detection of similar events is accomplished based on the bayes probabilities and is sent to the sink node resulting in minimizing the energy consumption. Next, the Polynomial Regression Function is applied to the target object of similar events considered for different sensors are combined. They are based on the minimum and maximum value of object events and are transferred to the sink node. Finally, the Poly Distribute algorithm effectively distributes the sensor nodes. The energy efficient routing path for each sensor nodes are created by data aggregation at the sink based on polynomial regression function which reduces the energy drain rate with minimum communication overhead. Experimental performance is evaluated using Dodgers Loop Sensor Data Set from UCI repository. Simulation results show that the proposed distribution algorithm significantly reduce the node energy drain rate and ensure fairness among different users reducing the communication overhead.
url http://europepmc.org/articles/PMC4591332?pdf=render
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