A Review of Various Swarm Intelligence Based Routing Protocols for Iot

Journal on Today's Ideas - Tomorrow's Technologies

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Field Value
 
Title A Review of Various Swarm Intelligence Based Routing Protocols for Iot
 
Creator Shailja Agnihotri
K.R. Ramkumar
 
Subject MANET
WSN
Swarm Intelligence
IoT
Routing
 
Description The paper provides insight into various swarm intelligence based routing protocols for Internet of Things (IoT), which are currently available for the Mobile Ad-hoc networks (MANETs) and wireless sensor networks (WSNs). There are several issues which are limiting the growth of Internet of Things. These include the reliability, link failures, routing, heterogeneity etc. The MANETs and WSNs routing issues impose almost same requirements for IoT routing mechanism. The recent work of the worldwide researchers is focused on this area. protocols are based on the principles of swarm intelligence. The swarm intelligence is applied to achieve the optimality and the efficiency in solving the complex, multi-hop and dynamic requirements of the wireless networks. The application of the ACO technique tries to provide answers to many routing issues. Using the swarm intelligence and ant colony optimization principles, it has been seen that, the protocols’ efficiency definitely increases and also provides more scope for the development of more robust, reliable and efficient routing protocols for the IoT. As the various standard protocols available for MANETs and WSNs are not reliable enough, the paper finds the need of some efficient routing algorithms for IoT.
 
Publisher Chitkara University
 
Date 2017-06-28
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier https://jotitt.chitkara.edu.in/index.php/jotitt/article/view/37
10.15415/jotitt.2017.51004
 
Source Journal on Today's Ideas - Tomorrow's Technologies; Vol 5 No 1 (2017); 50-63
2321-7146
2321-3906
 
Language eng
 
Relation https://jotitt.chitkara.edu.in/index.php/jotitt/article/view/37/23
 
Rights Copyright (c) 2017 Journal on Today's Ideas - Tomorrow's Technologies
https://creativecommons.org/licenses/by/4.0/
 

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