Egyptian Informatics Journal

Egyptian Informatics Journal

Volume 22, Issue 3, September 2021, Pages 373-387
Egyptian Informatics Journal

Full-length Article
Enhancing cooperation in MANET using neighborhood compressive sensing model

https://doi.org/10.1016/j.eij.2016.06.007Get rights and content
Under a Creative Commons license
open access

Abstract

This paper presents the use of Compressive Sensing (CS) in the reduction of resource consumption to minimize battery and bandwidth usage. It also focuses on how attacks and misbehavior can be nullified. The proposed Neighborhood Compressive Sensing (NCS) model compresses the neighborhood sparse data such as routing table updates, advertisement and trust information. It minimizes resource consumption because major computations are performed by the leader node. The use of compressive sensing gives the reduction in resource consumption because it reduces the amount of transmitting data in the network. It also prevents a network from unwanted advertisement and attacks because the neighborhood nodes do not accept the advertisements and updates directly, rather it uses leader node’s processed information. The proposed NCS model is implemented in “GloMoSim” on top of the DSR protocol, resulting its effectiveness, as compared to the DSR protocol when the network is misconducting for its selfish needs. Simulation result shows that the proposed NCS model is outperformed DSR in terms of the energy consumption, network lifetime and packet dropping ratio. This work is the extended version of Reduction in Resource Consumption to enhance cooperation in MANET using Compressive Sensing (Akhtar and Sahoo, 2015) [68].

Abbreviations

LN
leader node
BN
border node
RN
regular node
CS
Compressive Sensing
NG
neighborhood group
NCS
Neighborhood Compressive Sensing

Keywords

Compressive sensing
Neighborhood group
Leader node
Malicious node
Neighborhood compressive sensing

Cited by (0)

Dr. Mohammad Amir Khusru Akhtar is an Assistant Professor in the Department of Computer Science & Engineering, Cambridge Institute of Technology, Tatisilwai, Ranchi, Jharkhand, India. His research interest includes mobile ad-hoc network, parallel and distributed computing and cloud computing. He is the author of over 17 peer-reviewed publications. He received his Ph.D. from the Department of Computer Science & Engineering at Birla Institute of Technology, Mesra, Ranchi, India, in 2015. He received his M. Tech degree from the Department of Computer Science & Engineering at Birla Institute of Technology, Mesra, Ranchi, India, in 2009.

Dr. G. Sahoo received his M.Sc. in Mathematics from Utkal University in the year 1980 and Ph.D. in the Area of Computational Mathematics from Indian Institute of Technology, Kharagpur, in the year 1987. He has been associated with Birla Institute of Technology, Mesra, Ranchi, India, since 1988, and currently, he is working as a Professor and Head in the Department of Information Technology. His research interest includes theoretical computer science, parallel and distributed computing, cloud computing, evolutionary computing, information security, image processing and pattern recognition.

Peer review under responsibility of Faculty of Computers and Information, Cairo University.