Optimizing Energy Consumption Using Cluster based Approach for Collision Avoidance in Wireless Sensor Network
||International Journal of Computer Trends and Technology (IJCTT)||
|© - August Issue 2013 by IJCTT Journal|
|Year of Publication : 2013|
|Authors :Jasmeet Kaur, Sarpreet Singh|
Jasmeet Kaur, Sarpreet Singh"Optimizing Energy Consumption Using Cluster based Approach for Collision Avoidance in Wireless Sensor Network"International Journal of Computer Trends and Technology (IJCTT),V4(8):2601-2606 August Issue 2013 .ISSN 2231-2803.www.ijcttjournal.org. Published by Seventh Sense Research Group.
Abstract:- In wireless sensor networks, congestion happens when the traffic load being offered exceeds the obtainable capability of sensing element nodes. In most applications, each sensing element node will send the event it`s detected to a sink node. This operation makes the sensors nearer to the sink, leading to congestion. Congestion could cause packets loss, lower throughput and sensing element energy waste. The proposed system contributes a solution for the avoidance of packet collisions and energy efficient approach in the wireless sensor networks. The GLASS protocol and the PBEEC (Prediction Based Energy Efficient Clustering) are combined to get a well-organized model for the WSN. Though the time slot methodology plays a role in energy savings, the results are not so prominent when the network grows larger. So, the proposed work incorporates the algorithm PBEEC (Prediction Based Energy Efficient Clustering) which makes full use of the history information is developed to clustering the network. The results show that the performance of the proposed scheme for saving resources in wireless sensor network is best. Traditional AODV process scheme provide good solution for communication but proposed scheme have much better performance in saving resources and to reduce energy consumption. The energy consumption is less in case of mobile sinks communication in wireless sensor network as compared to the normal AODV process.
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Keywords : — Congestion Control, Clusters, PBEEC, Wireless Sensor Network.