Modeling the Energy Performance of Event-Driven Wireless Sensor Network by Using Static Sink and Mobile Sink

Wireless Sensor Networks (WSNs) designed for mission-critical applications suffer from limited sensing capacities, particularly fast energy depletion. Regarding this, mobile sinks can be used to balance the energy consumption in WSNs, but the frequent location updates of the mobile sinks can lead to...

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Main Authors: Mitsuji Matsumoto, Jiehui Chen, Mariam B. Salim
Format: Article
Language:English
Published: MDPI AG 2010-12-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/10/12/10876/
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spelling doaj-58c1da980aac4377846236b25ac41d7a2020-11-24T20:54:16ZengMDPI AGSensors1424-82202010-12-011012108761089510.3390/s101210876Modeling the Energy Performance of Event-Driven Wireless Sensor Network by Using Static Sink and Mobile SinkMitsuji MatsumotoJiehui ChenMariam B. SalimWireless Sensor Networks (WSNs) designed for mission-critical applications suffer from limited sensing capacities, particularly fast energy depletion. Regarding this, mobile sinks can be used to balance the energy consumption in WSNs, but the frequent location updates of the mobile sinks can lead to data collisions and rapid energy consumption for some specific sensors. This paper explores an optimal barrier coverage based sensor deployment for event driven WSNs where a dual-sink model was designed to evaluate the energy performance of not only static sensors, but Static Sink (SS) and Mobile Sinks (MSs) simultaneously, based on parameters such as sensor transmission range r and the velocity of the mobile sink v, etc. Moreover, a MS mobility model was developed to enable SS and MSs to effectively collaborate, while achieving spatiotemporal energy performance efficiency by using the knowledge of the cumulative density function (cdf), Poisson process and M/G/1 queue. The simulation results verified that the improved energy performance of the whole network was demonstrated clearly and our eDSA algorithm is more efficient than the static-sink model, reducing energy consumption approximately in half. Moreover, we demonstrate that our results are robust to realistic sensing models and also validate the correctness of our results through extensive simulations. http://www.mdpi.com/1424-8220/10/12/10876/wireless sensor networkmodeling the energy performanceevent-drivenmobile sink
collection DOAJ
language English
format Article
sources DOAJ
author Mitsuji Matsumoto
Jiehui Chen
Mariam B. Salim
spellingShingle Mitsuji Matsumoto
Jiehui Chen
Mariam B. Salim
Modeling the Energy Performance of Event-Driven Wireless Sensor Network by Using Static Sink and Mobile Sink
Sensors
wireless sensor network
modeling the energy performance
event-driven
mobile sink
author_facet Mitsuji Matsumoto
Jiehui Chen
Mariam B. Salim
author_sort Mitsuji Matsumoto
title Modeling the Energy Performance of Event-Driven Wireless Sensor Network by Using Static Sink and Mobile Sink
title_short Modeling the Energy Performance of Event-Driven Wireless Sensor Network by Using Static Sink and Mobile Sink
title_full Modeling the Energy Performance of Event-Driven Wireless Sensor Network by Using Static Sink and Mobile Sink
title_fullStr Modeling the Energy Performance of Event-Driven Wireless Sensor Network by Using Static Sink and Mobile Sink
title_full_unstemmed Modeling the Energy Performance of Event-Driven Wireless Sensor Network by Using Static Sink and Mobile Sink
title_sort modeling the energy performance of event-driven wireless sensor network by using static sink and mobile sink
publisher MDPI AG
series Sensors
issn 1424-8220
publishDate 2010-12-01
description Wireless Sensor Networks (WSNs) designed for mission-critical applications suffer from limited sensing capacities, particularly fast energy depletion. Regarding this, mobile sinks can be used to balance the energy consumption in WSNs, but the frequent location updates of the mobile sinks can lead to data collisions and rapid energy consumption for some specific sensors. This paper explores an optimal barrier coverage based sensor deployment for event driven WSNs where a dual-sink model was designed to evaluate the energy performance of not only static sensors, but Static Sink (SS) and Mobile Sinks (MSs) simultaneously, based on parameters such as sensor transmission range r and the velocity of the mobile sink v, etc. Moreover, a MS mobility model was developed to enable SS and MSs to effectively collaborate, while achieving spatiotemporal energy performance efficiency by using the knowledge of the cumulative density function (cdf), Poisson process and M/G/1 queue. The simulation results verified that the improved energy performance of the whole network was demonstrated clearly and our eDSA algorithm is more efficient than the static-sink model, reducing energy consumption approximately in half. Moreover, we demonstrate that our results are robust to realistic sensing models and also validate the correctness of our results through extensive simulations.
topic wireless sensor network
modeling the energy performance
event-driven
mobile sink
url http://www.mdpi.com/1424-8220/10/12/10876/
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