Fault tolerant and congestion aware routing algorithm for network on chip1

Nehnouh, Chakib; Sarwat, Mohamed

doi:10.3233/jhs-190618

Cited by 3 publications

(1 citation statement)

References 25 publications

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“…Adaptive Q learning shows 41% lesser delay and 51% more residual energy compared to other methods (Alarifi, A. et al, 2019). Faults in network on chip (NoCs) are addressed using distributed and adaptive routing algorithms (Nehnouh, C. et al, 2019). This method is deadlock free and does not use any virtual channels or routes.…”

Section: Introductionmentioning

confidence: 99%

Optimization Techniques in Cooperative and Distributed MAC Protocols

Subramanyam,

Rekha,

Nagabushanam

et al. 2024

International Journal of Intelligent Information Technologies

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The tremendous increase in wireless network application finds distributed allocation of resources allocation very useful in the network. Packet delivery ratio and delay can be improved by concentrating on payload size, mobility, and density of nodes in the network. In this article, a survey is carried out on different cooperative and distributed MAC protocols for communication and optimization algorithms for various applications and the mathematical issues related to game theory optimizations in MAC protocol. Spatial reuse of channel improved by (3-29) % and multi-channel improves throughput by 8% using distributed MAC protocol. The energy utility of individual players can be focused to get better network performance with NASH equilibrium. Fuzzy logic improves channel selection by 17% and secondary users' involvement by 8%. Jamming, interference problems can be addressed using cross layer approach in the MAC and simultaneous data, voice transmissions in IoT; WSN applications can be attained using hybrid distributed MAC protocol.

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Section: Introductionmentioning

confidence: 99%

Optimization Techniques in Cooperative and Distributed MAC Protocols

Subramanyam,

Rekha,

Nagabushanam

et al. 2024

International Journal of Intelligent Information Technologies

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Cooperative optimization techniques in distributed MAC protocols – a survey

Subramanyam,

Jancy,

Nagabushanam

2023

IJPCC

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Purpose Cross-layer approach in media access control (MAC) layer will address interference and jamming problems. Hybrid distributed MAC can be used for simultaneous voice, data transmissions in wireless sensor network (WSN) and Internet of Things (IoT) applications. Choosing the correct objective function in Nash equilibrium for game theory will address fairness index and resource allocation to the nodes. Game theory optimization for distributed may increase the network performance. The purpose of this study is to survey the various operations that can be carried out using distributive and adaptive MAC protocol. Hill climbing distributed MAC does not need a central coordination system and location-based transmission with neighbor awareness reduces transmission power. Design/methodology/approach Distributed MAC in wireless networks is used to address the challenges like network lifetime, reduced energy consumption and for improving delay performance. In this paper, a survey is made on various cooperative communications in MAC protocols, optimization techniques used to improve MAC performance in various applications and mathematical approaches involved in game theory optimization for MAC protocol. Findings Spatial reuse of channel improved by 3%–29%, and multichannel improves throughput by 8% using distributed MAC protocol. Nash equilibrium is found to perform well, which focuses on energy utility in the network by individual players. Fuzzy logic improves channel selection by 17% and secondary users’ involvement by 8%. Cross-layer approach in MAC layer will address interference and jamming problems. Hybrid distributed MAC can be used for simultaneous voice, data transmissions in WSN and IoT applications. Cross-layer and cooperative communication give energy savings of 27% and reduces hop distance by 4.7%. Choosing the correct objective function in Nash equilibrium for game theory will address fairness index and resource allocation to the nodes. Research limitations/implications Other optimization techniques can be applied for WSN to analyze the performance. Practical implications Game theory optimization for distributed may increase the network performance. Optimal cuckoo search improves throughput by 90% and reduces delay by 91%. Stochastic approaches detect 80% attacks even in 90% malicious nodes. Social implications Channel allocations in centralized or static manner must be based on traffic demands whether dynamic traffic or fluctuated traffic. Usage of multimedia devices also increased which in turn increased the demand for high throughput. Cochannel interference keep on changing or mitigations occur which can be handled by proper resource allocations. Network survival is by efficient usage of valid patis in the network by avoiding transmission failures and time slots’ effective usage. Originality/value Literature survey is carried out to find the methods which give better performance.

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Scheduling and adaptive listening approaches in MAC for WSN applications: A survey

Radha

Bala

Kanaga

et al. 2020

JHS

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False data detection, intrusion detection and coverage rate are major challenges in wireless sensor networks (WSN). Scheduling in media access control (MAC) using gateway and relay nodes solve some of the problems. In this paper, we carried out a brief survey on scheduling, delay aware MAC, cooperative communications in MAC, and adaptive listening to keep controlling the energy in sensors. In addition, multichannel MAC and various routing strategy techniques for WSN are discussed. Firefly algorithm for dynamic scheduling pipelined scheduling for linear sensor networks gives better throughput and latency. Heuristic configuration solves the overhearing problem, as node power-based MAC controls power of each node. Based on WSN applications and the performance metrics concentrated, various techniques for MAC are discussed throughout in this paper.

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Fault tolerant and congestion aware routing algorithm for network on chip1

Cited by 3 publications

References 25 publications

Optimization Techniques in Cooperative and Distributed MAC Protocols

Optimization Techniques in Cooperative and Distributed MAC Protocols

Cooperative optimization techniques in distributed MAC protocols – a survey

Scheduling and adaptive listening approaches in MAC for WSN applications: A survey

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