Restoration Strategy Based on Optimal Relay Node Placement in Wireless Sensor Networks

In wireless sensor networks (WSNs), connecting disjoint segments is significant for network restoration, especially in some mission critical applications. However, the variability of distances between disjoint segments has tremendous influence on relay nodes deployment. In fact, finding the optimal...

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Main Authors: Xiaoding Wang, Li Xu, Shuming Zhou
Format: Article
Language:English
Published: Wiley 2015-07-01
Series:International Journal of Distributed Sensor Networks
Online Access:https://doi.org/10.1155/2015/409085
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author Xiaoding Wang
Li Xu
Shuming Zhou
author_facet Xiaoding Wang
Li Xu
Shuming Zhou
author_sort Xiaoding Wang
collection DOAJ
description In wireless sensor networks (WSNs), connecting disjoint segments is significant for network restoration, especially in some mission critical applications. However, the variability of distances between disjoint segments has tremendous influence on relay nodes deployment. In fact, finding the optimal solution for connecting disjoint segments in terms of the number and positions of relay nodes is NP-hard. To address this issue, plenty of heuristics, such as STP-MSP (Cheng et al., 2008), MST-1 t RN (Lloyd et al., 2007), and CORP (Lee and Younis, 2010) are deeply pursued. In this paper, we propose a distributed restoration algorithm based on optimal relay node placement (simply, ORNP). It aims at federating separated segments by populating the minimum number of relay nodes in a WSN that has suffered a significant damage. In addition, both of complexity and upper bound of the relay count for ORNP are explored. The simulation results show that ORNP performs better than STP-MSP, MST-1 t RN, and CORP in terms of relay count and the connectivity of resulting topology.
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spelling doaj-art-5ab8432f2a0f44bc9cccaec2381c82ff2025-02-03T06:42:54ZengWileyInternational Journal of Distributed Sensor Networks1550-14772015-07-011110.1155/2015/409085409085Restoration Strategy Based on Optimal Relay Node Placement in Wireless Sensor NetworksXiaoding WangLi XuShuming ZhouIn wireless sensor networks (WSNs), connecting disjoint segments is significant for network restoration, especially in some mission critical applications. However, the variability of distances between disjoint segments has tremendous influence on relay nodes deployment. In fact, finding the optimal solution for connecting disjoint segments in terms of the number and positions of relay nodes is NP-hard. To address this issue, plenty of heuristics, such as STP-MSP (Cheng et al., 2008), MST-1 t RN (Lloyd et al., 2007), and CORP (Lee and Younis, 2010) are deeply pursued. In this paper, we propose a distributed restoration algorithm based on optimal relay node placement (simply, ORNP). It aims at federating separated segments by populating the minimum number of relay nodes in a WSN that has suffered a significant damage. In addition, both of complexity and upper bound of the relay count for ORNP are explored. The simulation results show that ORNP performs better than STP-MSP, MST-1 t RN, and CORP in terms of relay count and the connectivity of resulting topology.https://doi.org/10.1155/2015/409085
spellingShingle Xiaoding Wang
Li Xu
Shuming Zhou
Restoration Strategy Based on Optimal Relay Node Placement in Wireless Sensor Networks
International Journal of Distributed Sensor Networks
title Restoration Strategy Based on Optimal Relay Node Placement in Wireless Sensor Networks
title_full Restoration Strategy Based on Optimal Relay Node Placement in Wireless Sensor Networks
title_fullStr Restoration Strategy Based on Optimal Relay Node Placement in Wireless Sensor Networks
title_full_unstemmed Restoration Strategy Based on Optimal Relay Node Placement in Wireless Sensor Networks
title_short Restoration Strategy Based on Optimal Relay Node Placement in Wireless Sensor Networks
title_sort restoration strategy based on optimal relay node placement in wireless sensor networks
url https://doi.org/10.1155/2015/409085
work_keys_str_mv AT xiaodingwang restorationstrategybasedonoptimalrelaynodeplacementinwirelesssensornetworks
AT lixu restorationstrategybasedonoptimalrelaynodeplacementinwirelesssensornetworks
AT shumingzhou restorationstrategybasedonoptimalrelaynodeplacementinwirelesssensornetworks