An intelligent hybrid MAC protocol for a sensor-based personalized healthcare system

Deng, Linbo; Gui, Jinsong; Wang, Tian; Tan, Jiawei; Li, Xiong

doi:10.1016/j.dcan.2021.08.004

Cited by 6 publications

(2 citation statements)

References 43 publications

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“…This leads to gain in trunk reservation policy. MAC with maximum listening length can use full energy of the sensor nodes (Deng et al, 2022), thereby reduces delay, and hence it is a receiver-initiated MAC. Sender sends beacon and data to create communication link, and receiver keeps on listening.…”

Section: Game Theory Optimization For Mac Protocolmentioning

confidence: 99%

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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Section: Game Theory Optimization For Mac Protocolmentioning

confidence: 99%

Cooperative optimization techniques in distributed MAC protocols – a survey

Subramanyam,

Jancy,

Nagabushanam

2023

IJPCC

View full text Add to dashboard Cite

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“… Huang et al ’s (2021) method was used to minimise the delay and collision and reduce the energy consumption in WSNs. The protocol in Deng et al (2021) improves energy utilisation and minimises the delay in sensor networks. Chauhan & Soni (2021) minimises the energy holes and prolongs the network’s lifetime in WSNs.…”

Section: Related Workmentioning

confidence: 99%

A genetic algorithm-based energy-aware multi-hop clustering scheme for heterogeneous wireless sensor networks

Muthukkumar

Garg

Maharajan

et al. 2022

PeerJ Computer Science

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Background The energy-constrained heterogeneous nodes are the most challenging wireless sensor networks (WSNs) for developing energy-aware clustering schemes. Although various clustering approaches are proven to minimise energy consumption and delay and extend the network lifetime by selecting optimum cluster heads (CHs), it is still a crucial challenge. Methods This article proposes a genetic algorithm-based energy-aware multi-hop clustering (GA-EMC) scheme for heterogeneous WSNs (HWSNs). In HWSNs, all the nodes have varying initial energy and typically have an energy consumption restriction. A genetic algorithm determines the optimal CHs and their positions in the network. The fitness of chromosomes is calculated in terms of distance, optimal CHs, and the node's residual energy. Multi-hop communication improves energy efficiency in HWSNs. The areas near the sink are deployed with more supernodes far away from the sink to solve the hot spot problem in WSNs near the sink node. Results Simulation results proclaim that the GA-EMC scheme achieves a more extended network lifetime network stability and minimises delay than existing approaches in heterogeneous nature.

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