A Novel Cross-Layering Power Control Mechanism for AODV

Maygua-Marcillo, Lesly; Urquiza-Aguiar, Luis

doi:10.3390/ecsa-6-06561

Cited by 2 publications

(3 citation statements)

References 13 publications

(11 reference statements)

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“…Iqbal et al [49], Ramachandran and Shanmugavel [195], DELAR [196], MC-TRACE [197], Zoulikha and Amal [198], Ahmed et al [193], Carvalho et al [199], Wang et al [200], CLEE-AODV [201], ATEER [202], CLMR [204], Maygua-Marcillo and Urquiza-Aguiar [205], Sekar and Latha [206] Problem to address:…”

Section: The Transmission Power Control-based Routing Methodsmentioning

confidence: 99%

“…As was mentioned previously, it is vital to provide a mechanism that will effectively control the transmission power of a node. In this direction, Maygua-Marcillo and Urquiza-Aguiar [205] proposed a CLD mechanism that controls the transmission power of a node based on the detection of its neighbors. Such detection is performed by using AODV.…”

Section: Cross-layer Designs For Manetsmentioning

confidence: 99%

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Survey on Power-Aware Optimization Solutions for MANETs

Kanellopoulos

Sharma

2020

Electronics

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Mobile ad hoc networks (MANETs) possess numerous and unique characteristics, such as high channel error-rate, severe link-layer contentions, frequent link breakage (due to node mobility), and dissimilar path properties (e.g., bandwidth, delay, and loss rate) that make these networks different from the traditional ones. These characteristics seriously interfere with communication and hence, ultimately degrade the overall performance in terms of end-to-end delay, packet delivery ratio, network throughput, and network overhead. The traditional referenced layered strict architecture is not capable of dealing with MANET characteristics. Along with this, the most important apprehension in the intent of MANETs is the battery-power consumption, which relies on non-renewable sources of energy. Even though improvements in battery design have not yet reached that great a level, the majority of the routing protocols have not emphasized energy consumption at all. Such a challenging aspect has gained remarkable attention from the researchers, which inspired us to accomplish an extensive literature survey on power-aware optimization approaches in MANETs. This survey comprehensively covers power-aware state-of-the-art schemes for each suggested group, major findings, crucial structures, advantages, and design challenges. In this survey, we assess the suggested power-aware policies in the past in every aspect so that, in the future, other researchers can find new potential research directions.

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Section: The Transmission Power Control-based Routing Methodsmentioning

confidence: 99%

Section: Cross-layer Designs For Manetsmentioning

confidence: 99%

Survey on Power-Aware Optimization Solutions for MANETs

Kanellopoulos

Sharma

2020

Electronics

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“…Gawas et al 10 developed a cross‐layer multi‐rate‐aware routing protocol for the multimedia mobile ad hoc network applications that are congestion‐perceptive and highly susceptible to end‐to‐end latency. Maygua‐Marcillo and Urquiza‐Aguiar 11 developed a power saving AODV protocol through cross‐layer coordinations and adaptive transmission power mechanism. Gopal and Subramanian 12 devised a security‐aware cross‐layer routing algorithm for mobile ad hoc communication system.…”

Section: Background and Literature Reviewmentioning

confidence: 99%

Multivariate fuzzy logic‐based ad hoc on‐demand distance vector protocol under the impact of node mobility in wireless ad hoc networks

Mehta

2022

Int J Communication

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Efficient routing of generated packets through the network with minimal overhead in path discovery and subsequent route maintenance is the fundamental objective required in the modern wireless network operation. Recently, the application of autonomic computational learning techniques for design and optimization of routing protocols in ad hoc networks is substantially gaining the research interest. The commonly deployed soft computing methodology of fuzzy inference system is capable of handling uncertain and imprecise networking information related to the frequently changing states of generic mobile technologies. In this paper, we propose a novel fuzzy logic-based ad hoc on-demand distance vector (FL-AODV) routing protocol employing the multivariate cross-layer design architecture to optimize the multiple performance parameters in wireless ad hoc networks. This fuzzy optimization framework essentially applies the header length from data link and physical layers, route timeout from network layer, and node mobility speed from application layer as inputs to the fuzzification interface. Besides, bit rate for application layer and communication range parameter for data link layer are scrutinized as the fuzzy outputs derived from the defuzzifier. The designed adaptive routing protocol is extensively assessed through simulation experimental analysis under the varying effects of node mobility conditions.Various network performance attributes including the reception cache hit, packet delivery ratio, packet errors, ping loss rate, mean throughput, and delay are computed and analyzed for comprehensive comparison between the presented fuzzy-based FL-AODV and classical AODV routing mechanisms.Finally, we compare our fuzzy routing model with previous algorithms to demonstrate its efficacy in terms of key performance metrics of throughput and delay.

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A Novel Cross-Layering Power Control Mechanism for AODV

Cited by 2 publications

References 13 publications

Survey on Power-Aware Optimization Solutions for MANETs

Survey on Power-Aware Optimization Solutions for MANETs

Multivariate fuzzy logic‐based ad hoc on‐demand distance vector protocol under the impact of node mobility in wireless ad hoc networks

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