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A Cognitive Theory-based Opportunistic Resource-Pooling Scheme for Ad hoc Networks

Hegde, Seema B and Babu, B Satish and Venkataram, Pallapa (2017) A Cognitive Theory-based Opportunistic Resource-Pooling Scheme for Ad hoc Networks. In: Journal of Intelligent Systems, 26 (1). pp. 47-68. ISSN 0334-1860

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Official URL: https://doi.org/10.1515/jisys-2015-0050


Resource pooling in ad hoc networks deals with accumulating computing and network resources to implement network control schemes such as routing, congestion, traffic management, and so on. Pooling of resources can be accomplished using the distributed and dynamic nature of ad hoc networks to achieve collaboration between the devices. Ad hoc networks need a resource-pooling technique that offers quick response, adaptability, and reliability. In this context, we are proposing an opportunistic resource-pooling scheme that uses a cognitive computing model to accumulate the resources with faster resource convergence rate, reliability, and lower latency. The proposed scheme is implemented using the behaviors-observations-beliefs cognitive model, in which the resource-pooling decisions are made based on accumulated knowledge over various behaviors exhibited by nodes in ad hoc networks.

Item Type: Journal Article
Publication: Journal of Intelligent Systems
Publisher: Walter de Gruyter GmbH
Additional Information: The Copyright of this article belongs to the Authors
Keywords: belief; cognitive agents; Mobile ad hoc networks (MANETs); opportunistic computing; resource pooling; Computation theory; Mobile agents; belief; Cognitive agents; Mobile adhoc network (MANETs); Opportunistic computing; Resource pooling; Mobile ad hoc networks
Department/Centre: Division of Electrical Sciences > Electrical Communication Engineering
Date Deposited: 16 Jun 2022 08:58
Last Modified: 16 Jun 2022 08:58
URI: https://eprints.iisc.ac.in/id/eprint/73549

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