A new cross-layer routing with energy awareness in hybrid mobile ad hoc networks: A fuzzy-based mechanism

Carvalho, Tássio; Júnior, José Jailton; Francês, Carlos Renato Lisboa

doi:10.1016/j.simpat.2016.02.003

Cited by 17 publications

(10 citation statements)

References 12 publications

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“…Their protocols were compared with other routing protocols (DSR, AODV, OLSR, CEDAR, PLQBR, QAODV, SAODV, and CSROR) using PDR, average delay, and routing overheads metrics with and without malicious nodes, and it was found to be efficient and fault-tolerant in most scenarios. Carvalho et al [199] implemented a cross-layer routing protocol for a hybrid MANET that uses a fuzzy-based mechanism for all layers by employing two input parameters: energy and mobility. This mechanism offers a better quality of network resources and enhanced network lifetime.…”

Section: Cross-layer Designs For Manetsmentioning

confidence: 99%

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: Cross-layer Designs For Manetsmentioning

confidence: 99%

Survey on Power-Aware Optimization Solutions for MANETs

Kanellopoulos

Sharma

2020

Electronics

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“…TassioCarvalho et al [13] proposed a mechanism for improving the routing protocol. The best path is chosen with efficient use of energy by allowing decision metrics to all the layers in a fuzzy approach with parameters Quality of Service, Quality of Experience guarantees, mobility and energy.…”

Section: Related Workmentioning

confidence: 99%

Solution for packet reordering in manet’s using cross layer based routing protocol

Rao

Murugan

2018

IJET

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TCP allows sharing the information about network status using Cross Layer mechanism for the different layers. The Cross Layer approach in wireless MANETs is provided for improving TCP performance. The Optimal Path or Route Selection is an important aspect for increasing energy efficiency and lifetime of the network. A proposal for Trust Aware Routing protocol is described for selecting an optimal route in MANETs. Direct and Indirect trust values are used for estimating the trust value of every node in the network. The route cost amount is estimated and the best path with minimum cost value is chosen for the network. The data packet is transmitted on the optimal path, and the optimal path is selected on the minimum cost value of the network. There is a possibility of the packets being dropped due to congestion and / or mobility and there are chances of the packets being reordered during the transmission process. Reorder Identification mechanism is the procedure used for dropped and / or reordered packets. The simulation results of the proposed work are compared with the existing work and it shows more effective in terms of energy efficiency and network lifetime.

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“…[12][13][14][15][16][17][18][19][20][21] Because of it, the problem of conflicting and incommensurate always exists and may not be removed.…”

Section: Motivationmentioning

confidence: 99%

“…In many real-life applications, this mapping produced a general solution to get optimal goal, which is not possible in earlier methods that are mentioned in the literature review. [12][13][14][15][16][17][18][19][20][21]…”

Section: Motivationmentioning

confidence: 99%

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Energy efficient routing formation technique for hybrid ad hoc network using fusion of artificial intelligence techniques

Das

Tripathi

2017

Int J Communication

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Hybrid Ad-hoc NETwork (HANET) is a fusion of both the static and dynamic topologies. Each node of this network consists of low capacity battery. Because of heterogeneous characteristic of the topology, network parameters are imprecise in nature. This, in effect, the performance and lifetime of the network degrade. To overcome these issues, this paper proposes an optimized energy efficient routing (OE2R) method. This method is inspired by artificial intelligence techniques such as multiobjective optimization, geometric programming, aspiration level, and tolerance limit. The fusion of such stated artificial intelligence techniques provide an effective tool to optimize multiple conflict objectives and estimate imprecise parameters of the network, simultaneously. The proposed technique OE2R is simulated using LINGO optimization software. To justify the effectiveness of the proposed technique, its performance is compared with some existing methods such as approximate linear programming technique for average cost bounds and linear programming-based efficient message delivery approach in hybrid network in several passes of performance metrics. The simulation results show that the proposed OE2R method performs much better with the comparative methods and may be implemented as energy-efficient routing for HANET. KEYWORDSapproximation method, aspiration level, geometric programming, hybrid ad hoc network, multiobjective optimization, optimset Int J Commun Syst. 2017;30:e3340.wileyonlinelibrary.com/journal/dac

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A new cross-layer routing with energy awareness in hybrid mobile ad hoc networks: A fuzzy-based mechanism

Cited by 17 publications

References 12 publications

Survey on Power-Aware Optimization Solutions for MANETs

Survey on Power-Aware Optimization Solutions for MANETs

Solution for packet reordering in manet’s using cross layer based routing protocol

Energy efficient routing formation technique for hybrid ad hoc network using fusion of artificial intelligence techniques

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