Enhanced Mobile Ad hoc Routing Protocol Using Cross Layer Design in Wireless Sensor Networks

Chanei, Waris; Charoenpanyasak, S.

doi:10.1007/978-3-642-35461-8_1

Cited by 2 publications

(1 citation statement)

References 2 publications

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“…To date, multitude of research endeavors have been undertaken concerning the implementation of cross‐layer techniques for routing protocol operation in various generalized wireless networks. Chanei and Charoenpanyasak 3 utilized the cross‐layering technique to develop a modified AODV routing method for wireless sensor networks with decreased control traffic overhead and reduced energy consumption. Service discovery and path establishment protocol for proactive and reactive ad hoc networks is analyzed and compared in Vara and Campo 4 .…”

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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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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On the Choice of Parameter Values for Simulation Based Experiments on Mobile Ad Hoc Networks

Manaseer¹

2016

IJCNS

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Over the course of the last 10 years, research on Mobile Ad Hoc Networks has witnessed high levels of focus. Because of this field being a relatively new topic, most researchers have focused on using simulation as the first choice for performance measurement and evaluation. In order to contribute to the credibility and reliability of research results on Ad Hoc networks, this paper addresses the issue of choosing parameter values that are used as input for simulators used in such experiments by surveying a sample of recently published papers on Ad Hoc Networks. Results show that in the majority of revised papers, the simulation environment is not carefully planned as reflected by the diversity and quality of parameters used.

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Enhanced Mobile Ad hoc Routing Protocol Using Cross Layer Design in Wireless Sensor Networks

Cited by 2 publications

References 2 publications

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

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

On the Choice of Parameter Values for Simulation Based Experiments on Mobile Ad Hoc Networks

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