Home
Author Guide
Editor Guide
Reviewer Guide
Special Issues
Special Issue Introduction
Special Issues List
Topics
Published Issues
2022
2021
2020
2019
2018
2017
2016
2015
2014
2013
2012
2011
2010
2009
2008
2007
2006
journal menu
Aims and Scope
Editorial Board
Indexing Service
Article Processing Charge
Open Access Policy
Publication Ethics
Digital Preservation Policy
Editorial Process
Subscription
Contact Us
General Information
ISSN:
1796-2021 (Online); 2374-4367 (Print)
Abbreviated Title:
J. Commun.
Editor-in-Chief:
Prof. Maode Ma
Associate Editor-in-Chief:
Prof. Jalel Ben-Othman, Prof. Nobuo Funabiki
Executive Editor-in-Chief:
Prof. Jason Z. Kang
DOI:
10.12720/jcm
Abstracting/Indexing:
Scopus
;
DBLP
;
CrossRef
,
EBSCO
,
Google Scholar
;
CNKI,
etc.
E-mail questions
or comments to
jocm@vip.163.com
Journal Metrics
1.9
2021
CiteScore
36th percentile
Powered by
Editor-in-Chief
Prof. Maode Ma
College of Engineering, Qatar University, Doha, Qatar
I'm very happy and honored to take on the position of editor-in-chief of JCM, which is a high-quality journal with potential and I'll try my every effort to bring JCM to a next level...
[Read More]
What's New
2022-12-07
Volume 17, No. 12 has been published online!
2022-10-31
Volume 17, No. 11 has been published online!
2022-09-26
Volume 17, No. 10 has been published online!
Home
>
Published Issues
>
2022
>
Volume 17, No. 12, December 2022
>
A Virtual Projection-Based Incentive Routing Protocol for Mobile PFNs in Wireless Sensor Networks
Niranjan L
1
and Manoj Priyatham M
2
1. Dept. of ECE, CMR Institute of Technological, Bangalore, Karnataka, India
2. Dept. of ECE, APS College of Engineering, Bangalore, India
Abstract
—The current Wireless Sensor Network (WSN) lacks the desired power owning to the non-availability of the power source. The challenge posed in the current scenario is conserving power for effective data transfer, which is seldom achieved. Added to the owes is the evolving technological innovations where the physical size of the Packet Forwarding Nodes (PFNs) is also reduced along with its power source, thereby reducing the power available to the system and making it inefficient. The existing methodology employed in monitoring the parameters used in Epidemic Algorithm (EA) and Incentive Compatible Routing Protocol (ICRP) protocols which are power guzzlers, the power available for data transfer is greatly reduced making the entire system inefficient. This paper attempts to mitigate the challenges posed by the EA & ICRP, the proposed protocol, “Incentive Routing Protocol with Virtual Projection (IRPVP)”, employs a Relay Sensing Node (RSN) which is designed to be distributed in a square cross-sectional area where each node acts as a unique Sensing Point (SP) monitoring each of the essential parameters like energy consumption, vibrant & non-vibrant SPN count, residual energy and routing overhead while still retaining power for data transfer since the RSN is connected to a dedicated power source. In IRPVP protocol, each packet of a node is subdivided into fragments that are designed to have fixed or variable lengths depending upon the application. Each of these packets is sent over multiple Packet Forwarding Nodes (PFNs) towards the data center. The selection of PFNs in the path is based on their trust levels like meeting probability, computation of residual energy, data weight, and security value. Special PFNs are placed in the network and are entrusted to deliver the packets to the data center without data loss during transmission. The result of the IRPVP protocol Vis-à-Vis the EA & ICRP protocol, backed by the simulation results proves that the IRPVP protocol is better in data handling and is more efficient.
Index Terms
—Packet forwarding nodes, Epidemic algorithm, Incentive compatible routing protocol, wireless sensor networks
Cite: Niranjan L and Manoj Priyatham M, "A Virtual Projection-Based Incentive Routing Protocol for Mobile PFNs in Wireless Sensor Networks," Journal of Communications vol. 17, no. 12, pp. 985-994, December 2022. Doi: 10.12720/jcm.17.12.985-994
Copyright © 2022 by the authors. This is an open access article distributed under the Creative Commons Attribution License (
CC BY-NC-ND 4.0
), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.
4-JCM-5154
PREVIOUS PAPER
Accuracy Enhancement of Automatic Modulation Recognition Using Deep Learning Paradigm
NEXT PAPER
Bandwidth Enhancement of Bow-tie Microstrip Patch Antenna Using Defected Ground Structure for 5G