Energy Efficient Source Location Privacy Protecting Scheme in Wireless Sensor Networks Using Ant Colony Optimization

Wireless sensor networks consist of various sensors with limited power, which collect different useful and privately relevant information. We pay attention to some issues related to sensor's location privacy. Ant colony optimization provides a natural and intrinsic way of exploration of search...

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Main Authors: Liming Zhou, Qiaoyan Wen
Format: Article
Language:English
Published: Wiley 2014-03-01
Series:International Journal of Distributed Sensor Networks
Online Access:https://doi.org/10.1155/2014/920510
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author Liming Zhou
Qiaoyan Wen
author_facet Liming Zhou
Qiaoyan Wen
author_sort Liming Zhou
collection DOAJ
description Wireless sensor networks consist of various sensors with limited power, which collect different useful and privately relevant information. We pay attention to some issues related to sensor's location privacy. Ant colony optimization provides a natural and intrinsic way of exploration of search space for preserving sensor's location privacy. In this paper, we focus on protecting the sensor's location by introducing suitable modifications to sensor routing to make it difficult for an eavesdropper to find the original location. And we propose an energy efficient preserving sensor's location privacy based on ant colony optimization scheme, which is a flexible routing strategy to protect the sensor's location. Simulation results show that our strategy can efficiently reduce the chance of packets being detected and prolong the network lifetime. And the adversary can find it difficult to find the exact location of the source node.
format Article
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institution Kabale University
issn 1550-1477
language English
publishDate 2014-03-01
publisher Wiley
record_format Article
series International Journal of Distributed Sensor Networks
spelling doaj-art-f3a2a5af1c9d49608ada496844bed6f12025-02-03T05:48:31ZengWileyInternational Journal of Distributed Sensor Networks1550-14772014-03-011010.1155/2014/920510920510Energy Efficient Source Location Privacy Protecting Scheme in Wireless Sensor Networks Using Ant Colony OptimizationLiming ZhouQiaoyan WenWireless sensor networks consist of various sensors with limited power, which collect different useful and privately relevant information. We pay attention to some issues related to sensor's location privacy. Ant colony optimization provides a natural and intrinsic way of exploration of search space for preserving sensor's location privacy. In this paper, we focus on protecting the sensor's location by introducing suitable modifications to sensor routing to make it difficult for an eavesdropper to find the original location. And we propose an energy efficient preserving sensor's location privacy based on ant colony optimization scheme, which is a flexible routing strategy to protect the sensor's location. Simulation results show that our strategy can efficiently reduce the chance of packets being detected and prolong the network lifetime. And the adversary can find it difficult to find the exact location of the source node.https://doi.org/10.1155/2014/920510
spellingShingle Liming Zhou
Qiaoyan Wen
Energy Efficient Source Location Privacy Protecting Scheme in Wireless Sensor Networks Using Ant Colony Optimization
International Journal of Distributed Sensor Networks
title Energy Efficient Source Location Privacy Protecting Scheme in Wireless Sensor Networks Using Ant Colony Optimization
title_full Energy Efficient Source Location Privacy Protecting Scheme in Wireless Sensor Networks Using Ant Colony Optimization
title_fullStr Energy Efficient Source Location Privacy Protecting Scheme in Wireless Sensor Networks Using Ant Colony Optimization
title_full_unstemmed Energy Efficient Source Location Privacy Protecting Scheme in Wireless Sensor Networks Using Ant Colony Optimization
title_short Energy Efficient Source Location Privacy Protecting Scheme in Wireless Sensor Networks Using Ant Colony Optimization
title_sort energy efficient source location privacy protecting scheme in wireless sensor networks using ant colony optimization
url https://doi.org/10.1155/2014/920510
work_keys_str_mv AT limingzhou energyefficientsourcelocationprivacyprotectingschemeinwirelesssensornetworksusingantcolonyoptimization
AT qiaoyanwen energyefficientsourcelocationprivacyprotectingschemeinwirelesssensornetworksusingantcolonyoptimization