Location based transmission using a neighbour aware with optimized EIFS MAC for ad hoc networks

Marchang, Jims; Ghita, Bogdan; Lancaster, David

doi:10.1016/j.adhoc.2017.06.001

Cited by 4 publications

(4 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…TDMA can be applied with centralized and distributed hill climbing and centralized annealing with connection distance and connection probability (Yaman et al , 2023). 802.11 uses a fixed back-off value, whereas LBT uses variable back-off value and thereby reduces interference and increases battery life (Marchang et al , 2017). 802.11 plays a major role in time-sensitive applications like voice and video streaming based on their quality of service.…”

Section: Survey Of Various Optimization Techniques In Macmentioning

confidence: 99%

Cooperative optimization techniques in distributed MAC protocols – a survey

Subramanyam,

Jancy,

Nagabushanam

2023

IJPCC

View full text Add to dashboard Cite

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.

show abstract

Section: Survey Of Various Optimization Techniques In Macmentioning

confidence: 99%

Cooperative optimization techniques in distributed MAC protocols – a survey

Subramanyam,

Jancy,

Nagabushanam

2023

IJPCC

View full text Add to dashboard Cite

show abstract

“…In addition, the transmission power is dynamically adjusted by considering neighbour's signal strength to avoid hidden node situations. In both [3] and [4] , the backoff mechanism based on the number of active neighbours was introduced, but the analysis of the energy consumption during the backoff periods was not highlighted, so this paper extends the study and incorporates the study of the amount of energy utilization during such deferring sessions.…”

Section: Introductionmentioning

confidence: 99%

“…However, location information is not readily available, so such an approach is invalidated if nodes are not provided with location information or if nodes cannot acquire location information. The work of [3] is extended in [4] by tuning the transmission power based on the activity of its neighbours and developed a technique to defer channel access dynamically based on the length of the busy state of the shared channel to avoid hidden node issue and ensure a fairer channel access. However, the study of [4] was developed only for a single hop environment by assuming that the location information was provided during initial node deployment and the study did not consider multi-hop communication with node mobility.…”

Section: Introductionmentioning

confidence: 99%

“…The work of [3] is extended in [4] by tuning the transmission power based on the activity of its neighbours and developed a technique to defer channel access dynamically based on the length of the busy state of the shared channel to avoid hidden node issue and ensure a fairer channel access. However, the study of [4] was developed only for a single hop environment by assuming that the location information was provided during initial node deployment and the study did not consider multi-hop communication with node mobility. In order to avoid such limitations, in this paper, location information is not used; rather transmission power is derived from the received signal strength and its initial power.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Dynamic Neighbour Aware Power-controlled MAC for Multi-hop Ad-hoc networks

et al. 2018

Self Cite

View full text Add to dashboard Cite

a b s t r a c tIn Ad-hoc networks, resources in terms of bandwidth and battery life are limited; so using a fixed high transmission power limits the durability of a battery life and causes unnecessary high interference while communicating with closer nodes leading to lower overall network throughput. Thus, this paper proposes a new cross layer MAC called Dynamic Neighbour Aware Power-controlled MAC (Dynamic NA-PMAC) for multi-hop Ad-hoc networks that adjust the transmission power by estimating the communication distance based on the overheard signal strength. By dynamically controlling the transmission power based on the receivable signal strength, the probability of concurrent transmission, durability of battery life and bandwidth utilization increases. Moreover, in presence of multiple overlapping signals with different strengths, an optimal transmission power is estimated dynamically to maintain fairness and avoid hidden node issues at the same time. In a given area, since power is controlled, the chances of overlapping the sensing ranges of sources and next hop relay nodes or destination node decreases, so it enhances the probability of concurrent transmission and hence an increased overall throughput. In addition, this paper uses a variable backoff algorithm based on the number of active neighbours, which saves energy and increases throughput when the density of active neighbours is less. The designed mechanism is tested with various random network scenarios using different traffic including CBR, Exponential and TCP in both scenarios (stationary and mobile with high speed) for single as well as multi-hop. Moreover, the proposed model is benchmarked against two variants of power-controlled mechanisms namely Min NA-PMAC and MaxRC-MinDA NA-PMAC to prove that using a fixed minimum transmission power may lead to unfair channel access and using different transmission power for RTS/CTS and Data/ACK leads to lower probability of concurrent transmission respectively. Crown

show abstract

Hidden Terminal Aware Clustering for Large-scale D2D Networks

Rhee

2018

Wireless Pers Commun

View full text Add to dashboard Cite

Location based transmission using a neighbour aware with optimized EIFS MAC for ad hoc networks

Cited by 4 publications

References 31 publications

Cooperative optimization techniques in distributed MAC protocols – a survey

Cooperative optimization techniques in distributed MAC protocols – a survey

Dynamic Neighbour Aware Power-controlled MAC for Multi-hop Ad-hoc networks

Hidden Terminal Aware Clustering for Large-scale D2D Networks

Contact Info

Product

Resources

About