Paper Info
Title
An ant colony optimization based routing algorithm for extending network lifetime in wireless sensor networks
Abstract
Reducing the energy consumption of network nodes is one of the most important problems for routing in wireless sensor networks because of the battery limitation in each sensor. This paper presents a new ant colony optimization based routing algorithm that uses special parameters in its competency function for reducing energy consumption of network nodes. In this new proposed algorithm called life time aware routing algorithm for wireless sensor networks (LTAWSN), a new pheromone update operator was designed to integrate energy consumption and hops into routing choice. Finally, with the results of the multiple simulations we were able to show that LTAWSN, in comparison with the previous ant colony based routing algorithm, energy aware ant colony routing algorithms for the routing of wireless sensor networks, ant colony optimization-based location-aware routing algorithm for wireless sensor networks and traditional ant colony algorithm, increase the efficiency of the system, obtains more balanced transmission among the nodes and reduce the energy consumption of the routing and extends the network lifetime.
Year
DOI
Venue
2016
10.1007/s11276-015-1061-6
Wireless Networks
Keywords
Field
DocType
Wireless sensor networks,Routing algorithms,Ant colony optimization,Energy consumption,Network lifetime
Ant colony optimization algorithms,Multipath routing,Link-state routing protocol,Dynamic Source Routing,Computer science,Static routing,Destination-Sequenced Distance Vector routing,Computer network,Wireless Routing Protocol,Geographic routing,Distributed computing
Journal
Volume
Issue
ISSN
22
8
1022-0038
Citations 
PageRank 
References 
20
0.63
46
Authors
2
Name
Order
Citations
PageRank
abdolreza mohajerani1200.63
Davood Gharavian211710.06