Performance Optimization of Multi-Hop Routing Protocols With Clustering-Based Hybrid Networking Architecture in Mobile Adhoc Cloud Networks

Performance Optimization of Multi-Hop Routing Protocols With Clustering-Based Hybrid Networking Architecture in Mobile Adhoc Cloud Networks

Deepak Srivastava, Ajay Kumar, Anupama Mishra, Varsa Arya, Ammar Almomani, Ching Hsien Hsu, Domenico Santaniello
Copyright: © 2022 |Pages: 15
DOI: 10.4018/IJCAC.309932
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Abstract

Mobile networks, in particular, are composed of wireless cellular communication nodes (MANET). Communication between these mobile nodes is not under centric systems. MANET is a network of randomly traveling nodes that self-configure and self-organize. Routing is a fundamental topic of MANET, and performance analysis of routing protocols is the focus of this study. AODV, DSR, and WRP are three routing protocols that are compared in this article. Glomosim will be used for simulation. The throughput, average end-to-end latency, and packet delivery ratio of various routing systems are all examined. Two scenarios depending on mobility and node density are considered in this research. As node density rises, PDR and throughput rise with it. Low node density resulted in the shortest delay. AODV has a higher packet delivery ratio and throughput in both scenarios, while WRP has the shortest delay. The authors also analyzed the average energy consumption with a best routing protocol that was decided by the result and conclude the efficiency of the ad-hoc network.
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Introduction

Ad-hoc networks are unstable networks which can be simplest used at some stage in information exchange sessions. Dubey (2008) and Kar et al. (2014) discussed that a Mobile Adhoc Cloud Network is a type of peer-to-peer network that operates in the radio frequency (RF) spectrum of cellular mobile phones. Unlike traditional cellular networks that use a centralized architecture, in a MANET that is shown in figure 1 where each node is an independent router and acts as a node in the network. This decentralized nature of MANETs provides scalability and increased security. The performance of MANETs is significantly enhanced by the use of Cloud Computing which allows a network of nodes to share resources such as processing power, memory, and storage over the Internet Almomani, A. et al. (2013) and Gupta, B. B. et al. (2012). Figure 1 depicts the understanding of mobile ad-hoc network in cloud computing.

Figure 1.

Mobile Adhoc Cloud Network

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Devices used for mobile networks include cellular phones, laptops, and other similar devices. Mobile devices, on the other hand, can be divided into two groups:

Fixed-infrastructure networks are discussed in Krupanek, B., & Bogacz, R. (2016) with a base station that covers a specific area. Mobile devices communicate with the nearest base station, which then sends the information to other base stations, wired networks, or other mobile devices. This form of network is exemplified by a cellular phone.

Chaudhary, P. et al. (2022) presented that another capable sort of network utilized in communication is one that does not have a fixed infrastructure. It is used for any planned or unplanned gathering, such as a meeting of geographically dispersed business personnel in a combat zone. Zhang, F. et al. (2022) said that Due to the self – regulatory, self – organizing and self – arranging abilities ad hoc networks could be quickly installed with minimal user interference. As per Moon, K. et al. (2015) and Murthy, C. S. R., & Manoj, B. S. (2004), there is no necessity for the comprehensive structuring of the base station establishment or connections. Figure 2 shows the communication and this form of network, however, can be built or destroyed as needed, this is why it is called a mobile ad-hoc network, because it lacks a centralized regulatory body. The author Wang, C., et al. (2006) and Chlamtac, I et al. (2003) discussed that the network is a dynamic, transient connection of independent nodes that communicate via wireless connections. The nodes remain within transmission range of one another, execute uncomplicated transmission, and are responsible for autonomous identification amongst themselves Elgendy, I. A. et al. (2021). The in-between nodes might serve as routers, communicating data packets produced by other nodes to their destination, in order to facilitate transmission between nodes that are not within the direct range of contact with one another.

Figure 2.

Communication in Adhoc Network

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As per Muñoz, J. L. et al. (2010) and Vats, K., et al. (2012) These nodes are typically energy constrained, i.e., battery-powered devices with a vast array of capabilities. In addition, the devices are free to join or leave the network, and they can relocate arbitrarily, resulting in likely rapid and chaotic topology changes.

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