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Topology Control for Self-Adaptation in Wireless Sensor Networks with Temporary Connection Impairment

Topology Control for Self-Adaptation in Wireless Sensor Networks with Temporary Connection... In this work, the problem of topology control for self-adaptation in stationary Wireless Sensor Networks (WSNs) is revisited, specifically for the case of networks with a subset of nodes having temporary connection impairment between them. This study focuses on misbehaviors arising due to the presence of\enskip dumb nodes Misra et al. 2014; Roy et al. 2014a, 2014b, 2014c; Kar and Misra 2015, which can sense its surroundings but cannot communicate with its neighbors due to shrinkage in its communication range by the environmental effects attributed to change in temperature, rainfall, and fog. However, a dumb node is expected to behave normally on the onset of favorable environmental conditions. Therefore, the presence of such dumb nodes in the network gives rise to impaired connectivity between a subset of nodes and, consequently, results in change in topology. Such phenomena are dynamic in nature and are thus distinct from the phenomena attributed to traditional isolation problems considered in stationary WSNs. Activation of all the sensor nodes simultaneously is not necessarily energy efficient and cost-effective. In order to maintain self-adaptivity of the network, two algorithms, named Connectivity Re-establishment in the presence of Dumb nodes (CoRD) and Connectivity Re-establishment in the presence of Dumb nodes Without Applying Constraints (CoRDWAC), are designed. The performance of these algorithms is evaluated through simulation-based experiments. Further, it is also observed that the performance of CoRD is better than the existing topology control protocolsLETC and A1with respect to the number of nodes activated, overhead, and energy consumption. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png ACM Transactions on Autonomous and Adaptive Systems (TAAS) Association for Computing Machinery

Topology Control for Self-Adaptation in Wireless Sensor Networks with Temporary Connection Impairment

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Publisher
Association for Computing Machinery
Copyright
Copyright © 2017 ACM
ISSN
1556-4665
eISSN
1556-4703
DOI
10.1145/2979680
Publisher site
See Article on Publisher Site

Abstract

In this work, the problem of topology control for self-adaptation in stationary Wireless Sensor Networks (WSNs) is revisited, specifically for the case of networks with a subset of nodes having temporary connection impairment between them. This study focuses on misbehaviors arising due to the presence of\enskip dumb nodes Misra et al. 2014; Roy et al. 2014a, 2014b, 2014c; Kar and Misra 2015, which can sense its surroundings but cannot communicate with its neighbors due to shrinkage in its communication range by the environmental effects attributed to change in temperature, rainfall, and fog. However, a dumb node is expected to behave normally on the onset of favorable environmental conditions. Therefore, the presence of such dumb nodes in the network gives rise to impaired connectivity between a subset of nodes and, consequently, results in change in topology. Such phenomena are dynamic in nature and are thus distinct from the phenomena attributed to traditional isolation problems considered in stationary WSNs. Activation of all the sensor nodes simultaneously is not necessarily energy efficient and cost-effective. In order to maintain self-adaptivity of the network, two algorithms, named Connectivity Re-establishment in the presence of Dumb nodes (CoRD) and Connectivity Re-establishment in the presence of Dumb nodes Without Applying Constraints (CoRDWAC), are designed. The performance of these algorithms is evaluated through simulation-based experiments. Further, it is also observed that the performance of CoRD is better than the existing topology control protocolsLETC and A1with respect to the number of nodes activated, overhead, and energy consumption.

Journal

ACM Transactions on Autonomous and Adaptive Systems (TAAS)Association for Computing Machinery

Published: Jan 10, 2017

Keywords: Dumb node

References