Research on Subjective Trust Routing Algorithm for Mobile Ad Hoc Networks

Wei, Guo; Ren-zuo, XU; Liu, Bin

doi:10.1109/wicom.2010.5600894

Cited by 7 publications

(3 citation statements)

References 16 publications

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“…Since CWSNS is a large scale network with limited energy and different performance goals in different regional network, there could be many selfish nodes which would cause negative forwarding of packets. Scientific researches prove that forward selfish behavior will affect seriously the network performance-just only a small number of selfish nodes (10%-40%) will lead to a significant decrease (16%-32%) of network performance [12]. Therefore, how to design a reliable routing mechanism is a key problem to be solved in the information transmission field of CWSNS.…”

Section: Introductionmentioning

confidence: 99%

R-bUCRP: A Novel Reputation-Based Uneven Clustering Routing Protocol for Cognitive Wireless Sensor Networks

et al. 2016

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Energy of nodes is an important factor that affects the performance of Wireless Sensor Networks (WSNs), especially in the case of existing selfish nodes, which attracted many researchers’ attention recently. In this paper, we present a reputation-based uneven clustering routing protocol (R-bUCRP) considering both energy saving and reputation assessment. In the cluster establishment phase, we adopt an uneven clustering mechanism which controls the competitive scope of cluster head candidates to save the energy of WSNs. In the cluster heads election phase, the residual energy and reputation value are used as the indexes to select the optimal cluster head, where the reputation mechanism is introduced to support reputation assessment. Simulation results show that the proposed R-bUCRP can save node energy consumption, balance network energy distribution, and prolong network lifetime.

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Section: Introductionmentioning

confidence: 99%

R-bUCRP: A Novel Reputation-Based Uneven Clustering Routing Protocol for Cognitive Wireless Sensor Networks

et al. 2016

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“…Routing protocols, data, battery power, and bandwidth are the common targets of these attacks. Scientific researches prove that selfish behavior will seriously affect the network performance [3]. Since the safety of multihop communication depends on the reliability of nodes on the route to destination primarily, it is important for routing protocols to know the reliability of the nodes forming the route.…”

Section: Introductionmentioning

confidence: 99%

“…Recently, many research results on the trust and efficiency of routing have been proposed. In order to solve the security of routing protocol, some techniques (e.g., trust value, detection, cryptography, and data hiding) are proposed based on different applications [1][2][3][4][5]. Bao et al [4] propose a highly scalable trust-based geographic routing protocol (TGRP) for WSNs to effectively deal with selfish or malicious nodes.…”

Section: Introductionmentioning

confidence: 99%

B-iTRS: A Bio-Inspired Trusted Routing Scheme for Wireless Sensor Networks

Zhang

Zheng

et al. 2015

Journal of Sensors

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In WSNs, routing algorithms need to handle dynamical changes of network topology, extra overhead, energy saving, and other requirements. Therefore, routing in WSNs is an extremely interesting and challenging issue. In this paper, we present a novel bio-inspired trusted routing scheme (B-iTRS) based on ant colony optimization (ACO) and Physarum autonomic optimization (PAO). For trust assessment, B-iTRS monitors neighbors’ behavior in real time, receives feedback from Sink, and then assesses neighbors’ trusts based on the acquired information. For routing scheme, each node finds routes to the Sink based on ACO and PAO. In the process of path finding, B-iTRS senses the load and trust value of each node and then calculates the link load and link trust of the found routes to support the route selection. Moreover, B-iTRS also assesses the route based on PAO to maintain the route table. Simulation results show how B-iTRS can achieve the effective performance compared to existing state-of-the-art algorithms.

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ZHRP-DCSEI, a Novel Hybrid Routing Protocol for Mobile Ad-hoc Networks to Optimize Energy Using Dynamic Cuckoo Search Algorithm

Gopalan¹

2021

Wireless Pers Commun

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Research on Subjective Trust Routing Algorithm for Mobile Ad Hoc Networks

Cited by 7 publications

References 16 publications

R-bUCRP: A Novel Reputation-Based Uneven Clustering Routing Protocol for Cognitive Wireless Sensor Networks

R-bUCRP: A Novel Reputation-Based Uneven Clustering Routing Protocol for Cognitive Wireless Sensor Networks

B-iTRS: A Bio-Inspired Trusted Routing Scheme for Wireless Sensor Networks

ZHRP-DCSEI, a Novel Hybrid Routing Protocol for Mobile Ad-hoc Networks to Optimize Energy Using Dynamic Cuckoo Search Algorithm

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