A Novel Stability-Based Routing Protocol for Mobile Ad-Hoc Networks

Tarng, J. H.; Chuang, Bing Wen; Wu, Fu-Zong

doi:10.1093/ietcom/e90-b.4.876

Cited by 27 publications

(14 citation statements)

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“…Before moving to the target point the arbitrarily picked node's speed is between 0 and 25 m/s and pause time is set to 10 s. Simulations are run for 50 nodes in an area of 1200 m × 1200 m. The 802.11a/g MAC specification is selected for the network and the power selected for transmission is 250 m and is calculated utilizing the nodes transmitting power. The source and destination pairs are selected randomly [7]. The modeling of the source nodes as a data generating node is performed by designing every source node in the network considering CBR (constant bit rate) as traffic generator.…”

Section: Simulation Modelmentioning

confidence: 99%

Effective Congestion Less Dynamic Source Routing for Data Transmission in MANETs

Rajawat¹,

Kuri²,

Chaudhary³

et al. 2016

Proceedings of the International Congress on Information and Communication Technology

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MANET is widely used for Ad hoc-based communications, but it suffers from several deficiencies like mobility cause change in topology and network partitions. The packet losses and congestion is very common scenario in MANET. In this work we provide a novel routing scheme which is able to provide consistent network stability and reliable packet delivery. We develop a routing scheme based on reactive route discovery process related to dynamic source routing protocol by proposing an optimal least busy path effective congestion less scheme which tries to minimize the packet drop keeping in mind the end goal which is to provide high quality path. The quality of our scheme is least busy routes, link stability, path quality, and high response time. The simulation results demonstrate the effectiveness of our proposed method; it is largely unaffected with increase in network mobility and network load. It has been likewise seen that the packet delivery ratio has been increased and the first packet received with the end-to-end delay has been decreased when our proposed method is compared with the conventional DSR protocol.

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Section: Simulation Modelmentioning

confidence: 99%

Effective Congestion Less Dynamic Source Routing for Data Transmission in MANETs

Rajawat¹,

Kuri²,

Chaudhary³

et al. 2016

Proceedings of the International Congress on Information and Communication Technology

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“…The authors state that in a highly dense environment, shortest path routing finds unstable routes. Targn et al [20] have considered the radio propagation effect on signal strength to achieve link stability. The authors consider that the link stability is equal to the probability of the receiving signal strength exceeding a pre-defined threshold.…”

Section: Related Workmentioning

confidence: 99%

A Novel Predictive and Non-Predictive Cooperative Model for Routing in Ad Hoc Networks

Mary¹,

Gnanadurai²

2014

IJCA

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Ad hoc networks are formed by intermediate nodes which agree to relay traffic. The link between nodes is broken when a node rejects to relay traffic. Various parameters like depreciation in the energy of a node, distance between nodes and mobility of the nodes play a vital role in determining the node's rejection to relay traffic. The objective of this paper is to propose a novel model that identifies the cooperative nodes forming stable routes at the route discovery phase. The weight factor of the different parameters decides the varied type of networks where the proposed model can be applied. Hence, an Artificial Neural Network based non-deterministic generic predictive model is proposed to identify the varied types of networks based on the weight factor. This study has been substantiated by simulation using OMNET++ simulator. We are sure that this paper will give a better solution to identify cooperative nodes thereby improving the performance of the network. General TermsArtificial Neural Network, non-deterministic generic predictive model.

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“…In presence of only a few sessions, this protocol provides good scalability for different sizes of the network by adopting fail-safe multiple paths. Ad-hoc On-demand Stability Vector (AOSV) routing protocol [20], is proposed to properly and effectively discover stable routes with high data throughput and long lifetime by considering the radio propagation effect on signal strength. Some also use Global Positioning System (GPS) [21] to improve the AODV by calculating reliable distance.…”

Section: Related Workmentioning

confidence: 99%