Bandwidth estimation in high mobility scenarios of IEEE 802.11 infrastructure‐less mobile ad hoc networks

Pal, Pankaj; Tripathi, Sachin; Kumar, Chiranjeev

doi:10.1002/dac.4080

Cited by 8 publications

(5 citation statements)

References 37 publications

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“…Congestion-Aware Clusters & Forwarding to ease congestion and cluster in Wireless Sensor Network (WSN). It was claimed in [23] [24]. Compared to standard communication networks, ad-hoc networks are more difficult.…”

Section: Related Workmentioning

confidence: 99%

Optimization of Mobile Ad-hoc Networks Communication Using Ad-hoc On-demand Multipath Distance Vector With Novel Aging Multi Population Strategy for Effectual Energy Utilization

2024

Informacije MIDEM

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In today's world, wireless technologies play a vital role in numerous real-world applications, particularly Mobile Ad-hoc Networks (MANETs), which offer bidirectional transmission capabilities through intermediary nodes. However, packet collision poses a significant challenge in MANETs due to the random movement of nodes at unpredictable speeds, leading to degraded throughput, increased routing overhead, and higher end-to-end delays. Moreover, frequent node mobility causes topological shifts and link instability, further lowering data delivery rates. Limited possible routes to the destination network also contribute to traffic congestion at intermediary nodes, hindering successful packet delivery, especially in real-world MANET applications. The proposed approach introduces a novel strategy utilizing the concept of "age" to evaluate each particle's local area search capacity within the MANET environment, termed Aging Multi Population Optimization (AMPO). Particles are categorized into distinct age groups based on their ages to maintain population diversity during the search process. Particles within each age group can only select younger particles or those within their own clusters/groups as preferred neighbors. To determine the optimal route to the destination, multiple pathways returned by the Adhoc On-demand Multipath Distance Vector (AOMDV) mechanism are optimized, considering the route with the highest fitness value as the most ideal. Additionally, a parameter setting mechanism based on age groups is introduced to accelerate convergence, where particles in different age groups possess distinct parameters. Finally, the proposed approach is evaluated against existing methods such as AOMDV-TA and EHO-AOMDV, considering network overhead, throughput, delay, energy usage, and packet delivery range as crucial performance metrics.

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Section: Related Workmentioning

confidence: 99%

Optimization of Mobile Ad-hoc Networks Communication Using Ad-hoc On-demand Multipath Distance Vector With Novel Aging Multi Population Strategy for Effectual Energy Utilization

2024

Informacije MIDEM

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“…It was claimed in [23] that TCP transmission over TDMA-based MANETs might be utilized without interference with sender-side network congestion and prototype resource predictions. While together algorithms provide efficient congestion reduction networking techniques, they neglected to account for stochastic transmission errors, which would have unnecessarily reduced the traffic load.…”

Section: Related Workmentioning

confidence: 99%

Optimization of Manets Using Aomdv With Novel Aging Multi Population Strategy for Effectual Energy Utilization

R.S.¹

2023

Preprint

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In today’s world wireless technologies plays vital role for many real world applications particularly the Mobile Ad-hoc Network (MANET) with bidirectional transmission capacity through numerous intermediary nodes is having dynamic scope in near future. Whereas, packet collision is regarded as the most important restrictions in MANETs since nodes move randomly through the network at unpredictable speeds, increasing the likelihood of collision and degrading throughput, routing overhead, and end-to-end delay. Additionally, a topological shift and link instability caused by frequent node mobility lower the rate of data delivery. The probability of traffic crowding increases at the intermediary nodes due to limited possible routes to the destination network, which affects the successful delivery of packets, especially with real-world applications on MANETs. In the proposed work, a novel strategy of age to evaluate each particle's local area search capacity is anticipated with Aging Multi Population Optimization (AMPO). The particles are divided into distinct age groups according to their ages so that population variety can be maintained when searching. Particles within every group of age can only choose those in younger or from their own clusters / groups as preferred neighbors. To choose the optimum route to the destination, we optimise the many pathways that the Adhoc On-demand Multipath Distance Vector (AOMDV) mechanism returned. The most ideal route is thought to be the one with the highest value for fitness. In order to speed up convergence, we also create a parameter setting mechanism based on age groups, where particles in various age groups have distinct parameters. Finally, we evaluate our suggested approach in comparison to AOMDV-TA and EHO-AOMDV. For the performance assessment of the suggested model, network overhead, throughput, delay, energy usage, and delivery of packets range as vital aspects.

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“…To get rid of congestion and clustering in Wireless Sensor Networks (WSN), authors of [31] presented a unique protocol called Congestion-Aware Clustering and Routing (CCR). In [32], sender-side congestion control and modelbased capacity prediction for TCP traffic over TDMA-based MANETs with no conflict were proposed. Both protocols offer effective congestion avoidance routing strategies, but MANETs lack a central coordinator, hence wireless bandwidth distribution among mobile nodes must be organized and decentralized.…”

Section: Literature Reviewmentioning

confidence: 99%

Adaptive Routing Protocol in Mobile Ad-Hoc Networks Using Genetic Algorithm

2022

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Mobile Adhoc Network (MANET) is a wireless network in which data is transferred in a forwarding direction from the source node to the destination node via multiple intermediate nodes. Packets collision is considered one of the most crucial limitations in MANETs because the nodes in the network move in random directions at a random velocity which increases the probability of collision and this will harm the throughput, the routing overhead, and the end-to-end delay. Also, frequent node mobility leads to a topological change and link instability and this reduces the data delivery rate. Because of limited available paths to the destination node or having a high traffic load, the possibility of traffic congestion augments at the intermediate nodes which in turn affects the packet delivery, particularly with real-time applications in MANETs. In this paper, we propose an adaptive routing protocol based on a bio-inspired genetic algorithm (GA). We optimize the multiple paths returned by the AOMDV mechanism (AOMDV-FG) to select the best path to the destination. The route with the highest fitness value is considered the most optimum route. Lastly, we compare our proposed protocol with AOMDV-TA and EHO-AOMDV. We have used routing overhead, end-to-end delay, throughput, energy consumption, and packet delivery ratio as key metrics for the performance evaluation of our proposed model.

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Bandwidth estimation in high mobility scenarios of IEEE 802.11 infrastructure‐less mobile ad hoc networks

Cited by 8 publications

References 37 publications

Optimization of Mobile Ad-hoc Networks Communication Using Ad-hoc On-demand Multipath Distance Vector With Novel Aging Multi Population Strategy for Effectual Energy Utilization

Optimization of Mobile Ad-hoc Networks Communication Using Ad-hoc On-demand Multipath Distance Vector With Novel Aging Multi Population Strategy for Effectual Energy Utilization

Optimization of Manets Using Aomdv With Novel Aging Multi Population Strategy for Effectual Energy Utilization

Adaptive Routing Protocol in Mobile Ad-Hoc Networks Using Genetic Algorithm

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