Cognitive AODV routing protocol with novel channel-route failure detection

Sangi, Abdur Rashid; Alkatheiri, Mohammed Saeed; Anamalamudi, Satish; Liu, Jianwei

doi:10.1007/s11042-019-7352-7

Cited by 7 publications

(2 citation statements)

References 17 publications

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“…As mentioned above, our scheme requires a cluster topology so we used CBRP (Cluster Based Routing Protocol) 26 to form dynamic clusters and used its route acquisition mechanism to acquire routes between two nodes. OpenSSL, 27 an open-source library, was used to compute MAC in NS-2. The route to any destination was discovered by source cluster head as soon as an opinion exchange packet (OEP) was received from any requesting member node.…”

Section: Implementing In Network Simulator-2mentioning

confidence: 99%

Secure opinion sharing for reputation-based systems in mobile ad hoc networks

Sangi

Liu

Alkatheiri

et al. 2020

Measurement and Control

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Due to the basic nature of mobile ad hoc networks, that is, infrastructure-less, it is prone to individual or collective misbehaviors by participating node(s). Participating nodes could act selfishly and does cause massive loss to network performance because of limited resources or belonging to a different administrative domain. Reputation-based solutions are widely used to mitigate selfishness. These solutions are to some extent depend on the feedback from participating nodes for any given node which required its secure exchange in an adverse environment. This paper introduces a secure opinion sharing based on network coding to ensure the effectiveness of any reputation against selfishness in an adverse environment. The proposed scheme addresses the threat to opinion exchange in any reputation-based solution with minor changes. In addition, it can be used to exchange secure data in an adverse environment, for example, virtual currency and feedback exchange for credit payment and game theory–based solutions, respectively. Simulation results proved that this scheme achieves excellent opinion exchange ratio, moderate delay, and affordable per cycle overhead.

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Section: Implementing In Network Simulator-2mentioning

confidence: 99%

Secure opinion sharing for reputation-based systems in mobile ad hoc networks

Sangi

Liu

Alkatheiri

et al. 2020

Measurement and Control

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“…Sangi et al [20] proposed a channel-route failure-based Cognitive-Ad-hoc on-demand distance vector (Cognitive-AODV) routing protocol with the modifications in channelroute-error (channel-RERR) to detect the exact channel-route failure and provide the best alternate end-to-end channelroute path in between source and destination. Deng et al [21] proposed a cognitive routing and optimization protocol based on multiple channels with a cross-layer design to study joint optimal cognitive routing with maximizing 2…”

Section: State-of-art Reviewmentioning

confidence: 99%

System Design for Opportunistic Spectrum Access Using Statistical Decision-Making and Coded-MAC

Rodríguez-Colina

Jiménez

Palacios-Luengas

et al. 2020

Wireless Communications and Mobile Computing

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Different mechanisms have been proposed to solve opportunistic spectrum access (OSA). In order to address spectrum management efficiently, these mechanisms can be divided into four main functionalities, spectrum sensing, decision-making, sharing, and mobility. These functionalities depend on the interpretation and adaptation of different parameters, for example, sensing and data interpretation for adaptive modulation, power adjustments, and changes regarding the range of frequency operation. For the decision-making function, a novel approach is proposed in which coding information is added to the establishment of the communication process thus assisting the medium access control (MAC). The presence of cognitive radio devices in the network coverage range can be controlled or coordinated by using specific redundancy codes. Hence, Reed Solomon (RS) code is used in this paper as part of the handshaking process to provide error correction. In addition, a redundancy strategy based on Rabin’s information dispersal algorithm (IDA) is presented to provide fault tolerance to the communication between cognitive radio devices. In this case, the information is divided into fragments dynamically, and each fragment is coded by an RS code and reassigned to a subset of recipients using alternate paths. This work shows how to optimize spectrum access based on IDA and RS codes to diversify channel occupation without losing significant information with several frequency hops presented in cognitive radio communications. The validations were executed in a discrete event simulator developed in Python. The proposed system for OSA was found to perform better than other approaches using pilot sequences. Our proposal, therefore, provides fault tolerance, to diversify channel occupation, and helps identify the presence of primary and secondary users when a common control channel (CCC) is implemented by the optimization of the spectrum use.

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