Research Article | OPEN ACCESS
An Energy Efficient Congestion Control Mechanism of WSN using Intelligent Agents
1H. Manikandan, 2S. Swaminathan, 2A. Srinivasan and 3H. Prabavathi
1CSE Department
2ECE Department, Srinivasa Ramanujan Centre, SASTRA University, Kumbakonam, India
3CSE Department, AVC College of Engineering, Mayiladuthurai, India
Research Journal of Applied Sciences, Engineering and Technology 2013 24:4607-4614
Received: January 31, 2013 | Accepted: March 08, 2013 | Published: December 25, 2013
Abstract
A Wireless Sensor Network (WSN) consists of one or more sinks and large number of sensor nodes scattered in an area. It is a collection of sensor nodes are interconnected by wireless communication channels. Wireless sensor networks will be used for such tasks as surveillance, widespread environmental sampling, security and health monitoring. With this data simple computations are carried out and communicate with other sensor nodes or controlling authorities in the network. Most of the time the sensor nodes are designed with limited energy, as a result the sensor nodes lacks recharging issues. But still wireless nodes packet-based computation is preferred since it is generally known that the computation utilizes reduced energy than the communication. In this study focus about to control the congestion and each node can achieve fair throughput whenever the congestion occurs in WSN environment. The congestion traffic is found in two streams, named downstream traffic and upstream traffic. The downstream traffic from the sink to the wireless sensor nodes is a one-to-many communication model. We present two general approaches to control congestion, network resource management and traffic control. The first approach tries to increase network resource to mitigate congestion when it occurs. The second approach tries for power control and multiple radio interfaces. It can be used to increase bandwidth and weaken congestion. When congestion occurs, the long-rage radio is used as a more direct route or “siphon” to mitigate congestion.
Keywords:
Congestion control, multi agents, wireless sensor networks,
Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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