Universiti Teknologi Malaysia Institutional Repository

Optimized reliable hybrid routing protocol based link stability for mobile wireless networks

Mohsin, Ahlam Hashim and Zainal, Anazida and Abu Bakar, Kamalrulnizam (2018) Optimized reliable hybrid routing protocol based link stability for mobile wireless networks. Wireless Personal Communications, 102 (1). pp. 473-493. ISSN 0929-6212

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Official URL: http://dx.doi.org/10.1007/s11277-018-5853-8

Abstract

During the last two decades, there has been a tremendous growth in the use of MANETs, not only due to the development of the technology but also due to their high flexibility. MANETs have challenges and limitations and among the major challenge is the routing process because of high dynamic topology and distributed nature. This is the main reason for quick depletion of network resources. Thus, there is a need to develop a routing protocol to fulfill various application requirements and enhance routing paths according to the topology change. In this paper, two protocols are proposed in order to optimally utilize the constrained network resources and reliably detect high-quality links. They are Hybrid Geo-cast Routing (HGR) protocol and Prediction Residual Lifetime of the Link mechanism (PRLL). The optimal and adaptive HGR protocol utilizes geographical location information to limit search area during route discovery process by including only promising search paths to minimize control overhead. Meanwhile, adaptive PRLL uses signal strength to predicate residual lifetime of the link in order to minimize link breakage, error control packets, and reduce packet drop and end to end delay. The experimental results show that the proposed HGR protocol is able to reduce up to 46.67% control overhead. Meanwhile, the proposed adaptive PRLL protocol improved packet delivery ratio by 26%.

Item Type:Article
Uncontrolled Keywords:Control overhead, link breakage, mobile ad-hoc networks, position-based routing, topology-based routing
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:Computing
ID Code:86278
Deposited By: Yanti Mohd Shah
Deposited On:31 Aug 2020 13:54
Last Modified:31 Aug 2020 13:54

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