Achieve Adaptive Data Storage and Retrieval Using Mobile Sinks in Wireless Sensor Networks

Achieve Adaptive Data Storage and Retrieval Using Mobile Sinks in Wireless Sensor Networks Wireless Pers Commun https://doi.org/10.1007/s11277-018-5788-0 Achieve Adaptive Data Storage and Retrieval Using Mobile Sinks in Wireless Sensor Networks 1 1 2 3 • • • Xingpo Ma Yin Li Tian Wang Junbin Liang Springer Science+Business Media, LLC, part of Springer Nature 2018 Abstract In WSNs (Wireless Sensor Networks), data storage and retrieval is a challenging problem because of the limited resource and the short communication radius of the sensor nodes. Most of the existed schemes choose one or more static sensor nodes or Sinks to act as the rendezvous nodes, which can be seen as the connectors between the data producers and the data consumers. However, those schemes cannot avoid both the ‘‘hot spot’’ problem and the ‘‘bottleneck’’ problem, which refer to the much higher load balance of the sensor nodes around the rendezvous nodes. Moreover, most of the existing schemes never consider the dynamic nature of WSNs, which leads to the lack of adaptability. In this paper, we propose a novel dynamic-optimization-based framework named SRMSN using mobile Sinks to solve such a problem. SRMSN utilizes two heuristic methods, which are based on the virtual-grid-division technology and the diversity-factor-analysis technology, to determine the optimal target locations of the mobile Sinks http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Wireless Personal Communications Springer Journals

Achieve Adaptive Data Storage and Retrieval Using Mobile Sinks in Wireless Sensor Networks

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Publisher
Springer US
Copyright
Copyright © 2018 by Springer Science+Business Media, LLC, part of Springer Nature
Subject
Engineering; Communications Engineering, Networks; Signal,Image and Speech Processing; Computer Communication Networks
ISSN
0929-6212
eISSN
1572-834X
D.O.I.
10.1007/s11277-018-5788-0
Publisher site
See Article on Publisher Site

Abstract

Wireless Pers Commun https://doi.org/10.1007/s11277-018-5788-0 Achieve Adaptive Data Storage and Retrieval Using Mobile Sinks in Wireless Sensor Networks 1 1 2 3 • • • Xingpo Ma Yin Li Tian Wang Junbin Liang Springer Science+Business Media, LLC, part of Springer Nature 2018 Abstract In WSNs (Wireless Sensor Networks), data storage and retrieval is a challenging problem because of the limited resource and the short communication radius of the sensor nodes. Most of the existed schemes choose one or more static sensor nodes or Sinks to act as the rendezvous nodes, which can be seen as the connectors between the data producers and the data consumers. However, those schemes cannot avoid both the ‘‘hot spot’’ problem and the ‘‘bottleneck’’ problem, which refer to the much higher load balance of the sensor nodes around the rendezvous nodes. Moreover, most of the existing schemes never consider the dynamic nature of WSNs, which leads to the lack of adaptability. In this paper, we propose a novel dynamic-optimization-based framework named SRMSN using mobile Sinks to solve such a problem. SRMSN utilizes two heuristic methods, which are based on the virtual-grid-division technology and the diversity-factor-analysis technology, to determine the optimal target locations of the mobile Sinks

Journal

Wireless Personal CommunicationsSpringer Journals

Published: Jun 5, 2018

References

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