Editor/Reviewer loginFrequency : 12 issues per year
Subject : Computer Applications and Technology
ISSN : 2319–8656 (Online)
IJCATR Volume 5 Issue 6
Congestion Control in Wireless Sensor Networks Using Genetic Algorithm
Navid Samadi Khangah Ali Ghaffari
10.7753/IJCATR0506.1005
keywords : wireless sensor networks, congestion control, genetic algorithm, optimization, clustering.
Sensor network consists of a large number of small nods, strongly interacting with the physical environment, takes environmental data through sensors, and reacts after processing on information. Wireless network technologies are widely used in most applications. As wireless sensor networks have many activities in the field of information transmission, network congestion cannot be thus avoided. So it seems necessary that some new methods can control congestion and use existing resources for providing better traffic demands. Congestion increases packet loss and retransmission of removed packets and also wastes of energy. In this paper, a novel method is presented for congestion control in wireless sensor networks using genetic algorithm. The results of simulation show that the proposed method, in comparison with the algorithm LEACH, can significantly improve congestion control at high speeds.
@artical{n562016ijcatr05061005,
Title = "Congestion Control in Wireless Sensor Networks Using Genetic Algorithm",
Journal ="International Journal of Computer Applications Technology and Research(IJCATR)",
Volume = "5",
Issue ="6",
Pages ="353 - 357",
Year = "2016",
Authors ="Navid Samadi Khangah
Ali Ghaffari"}
The paper proposes a paper, a congestion control in WSN using genetic algorithm.
Work process in genetic algorithm is done by two mutation and integration methods.
For selecting cluster head, the amount battery is used.
Proposed method, can significantly improve congestion control at high speeds.