Designing a Novel Framework for Evaluation of Trust in Mobile Ad-Hoc Networks

Raja, R.Vinston; Kumar, Praveen

doi:10.1166/jctn.2018.7094

Cited by 1 publication

(1 citation statement)

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“…e knowledge-sharing about the past experiences of nodes leads them to develop a trust level about each node in the network. e selection of relay relies on the trust level of the next nodes in the potential route [42]. Various typical and sophistical schemes have been introduced in this domain.…”

Section: Trust Managementmentioning

confidence: 99%

A Survey on the Noncooperative Environment in Smart Nodes-Based Ad Hoc Networks: Motivations and Solutions

Khan

Nasralla

Umar

et al. 2021

Security and Communication Networks

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In ad hoc networks, the communication is usually made through multiple hops by establishing an environment of cooperation and coordination among self-operated nodes. Such nodes typically operate with a set of finite and scarce energy, processing, bandwidth, and storage resources. Due to the cooperative environment in such networks, nodes may consume additional resources by giving relaying services to other nodes. This aspect in such networks coined the situation of noncooperative behavior by some or all the nodes. Moreover, nodes sometimes do not cooperate with others due to their social likeness or their mobility. Noncooperative or selfish nodes can last for a longer time by preserving their resources for their own operations. However, such nodes can degrade the network's overall performance in terms of lower data gathering and information exchange rates, unbalanced work distribution, and higher end-to-end delays. This work surveys the main roots for motivating nodes to adapt selfish behavior and the solutions for handling such nodes. Different schemes are introduced to handle selfish nodes in wireless ad hoc networks. Various types of routing techniques have been introduced to target different types of ad hoc networks having support for keeping misbehaving or selfish nodes. The major solutions for such scenarios can be trust-, punishment-, and stimulation-based mechanisms. Some key protocols are simulated and analyzed for getting their performance metrics to compare their effectiveness.

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Section: Trust Managementmentioning

confidence: 99%