International Journal of Automation, Control and Intelligent Systems
Articles Information
International Journal of Automation, Control and Intelligent Systems, Vol.1, No.4, Nov. 2015, Pub. Date: Jan. 6, 2016
Introducing a Collaborative Approach to Improve the Lifetime and Energy Consumption in Wireless Sensor Networks
Pages: 110-115 Views: 1037 Downloads: 344
[01] Mohsen Derakhshannia, Department of Computer Science, Izeh Branch, Islamic Azad University, Izeh, Iran.
[02] Monireh Khodadust, Department of Computer Science, Izeh Branch, Islamic Azad University, Izeh, Iran.
Utilizing interoperability in nodes is a good method used to maximize the lifetime of wireless sensor networks. One of the major challenges of wireless sensor networks is using publish broadcasts and irrelevant nodes that are used to send interest and discovering routing plan, which, with the increase of energy consumption due to increased traffic and additional processing, leads to increased mean intake, and ultimately reduce the lifetime of the network. The purpose of this article is to increase the lifetime of the network by restricting relative submission loads, turning off irrelevant nodes, and utilizing clustering techniques to achieve said goal. In the proposed procedure the sink node first produces an interest package to act as an agent with limited lifetime and sends it randomly to one neighbouring node so as to be processed in the network to find the source. In the proposed method, the operation of the irrelevant nodes is stopped and avoided and by using clustering techniques and interoperability, network lifetime is increased. The simulation results show that the proposed method, as compared to other methods, leads to reduced average energy consumption and traffic load, and an increase in delivery rates, which, in turn, means an increase in the network’s lifetime. The proposed method, as compared to previous methods, has caused some slight network delay too.
Wireless Sensor Networks, Node, Sink, Routing Based on Interoperability, Increasing Lifetime
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