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Trust-based neighbor selection using activation function for secure routing in wireless sensor networks

Trust-based neighbor selection using activation function for secure routing in wireless sensor... Wireless sensor network (WSN) nodes rely on their neighbors to transmit the sensed information to a sink node. A trans- mitting node assumes that its neighbor is secure and relays its information in an optimal manner. A network’s wireless communication medium and decentralized nature retards its performance by exposing it to internal and external attacks. Therefore, secure networks are placed and vital in selecting trusted neighbors to secure transmission. Trust models and the reputation management system takes advantage of the network’s limitation, resulting in the weekly node detection of mali- cious neighbors and inconsistent network performance. This paper proposes an activation function-based trusted neighbor selection (AF-TNS) for resource-constrained WSNs to enhance network security. AF-TNS works in two phases: trust evalu- ation with energy constraint and additive metric-based node evaluation to retain the trustworthiness of the neighbors. The random transigmoid function employed simplifies the complex decision-making process of the AF by distinguishing trusted and un-trusted node to retain network performance. Simulation results show that AF-TNS improves network performance by improving the malicious detection rate and retaining the network’s lifetime. From the experimental result, AF-TNS method ensures minimum delay (8.5 s), minimum energy (8.53 J), high throughput (149 kbs), high network lifetime (390 s), also http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Ambient Intelligence and Humanized Computing Springer Journals

Trust-based neighbor selection using activation function for secure routing in wireless sensor networks

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Publisher
Springer Journals
Copyright
Copyright © 2018 by Springer-Verlag GmbH Germany, part of Springer Nature
Subject
Engineering; Computational Intelligence; Artificial Intelligence (incl. Robotics); Robotics and Automation; User Interfaces and Human Computer Interaction
ISSN
1868-5137
eISSN
1868-5145
DOI
10.1007/s12652-018-0885-1
Publisher site
See Article on Publisher Site

Abstract

Wireless sensor network (WSN) nodes rely on their neighbors to transmit the sensed information to a sink node. A trans- mitting node assumes that its neighbor is secure and relays its information in an optimal manner. A network’s wireless communication medium and decentralized nature retards its performance by exposing it to internal and external attacks. Therefore, secure networks are placed and vital in selecting trusted neighbors to secure transmission. Trust models and the reputation management system takes advantage of the network’s limitation, resulting in the weekly node detection of mali- cious neighbors and inconsistent network performance. This paper proposes an activation function-based trusted neighbor selection (AF-TNS) for resource-constrained WSNs to enhance network security. AF-TNS works in two phases: trust evalu- ation with energy constraint and additive metric-based node evaluation to retain the trustworthiness of the neighbors. The random transigmoid function employed simplifies the complex decision-making process of the AF by distinguishing trusted and un-trusted node to retain network performance. Simulation results show that AF-TNS improves network performance by improving the malicious detection rate and retaining the network’s lifetime. From the experimental result, AF-TNS method ensures minimum delay (8.5 s), minimum energy (8.53 J), high throughput (149 kbs), high network lifetime (390 s), also

Journal

Journal of Ambient Intelligence and Humanized Computing – Springer Journals

Published: Jun 4, 2018

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