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Reseach Article

Energy Efficient Clustering Method for Wireless Sensor Network By Using Compressive Sensing and MEMAC

Published on December 2014 by Swati Gawand, Santosh Kumar
Innovations and Trends in Computer and Communication Engineering
Foundation of Computer Science USA
ITCCE - Number 4
December 2014
Authors: Swati Gawand, Santosh Kumar

Swati Gawand, Santosh Kumar . Energy Efficient Clustering Method for Wireless Sensor Network By Using Compressive Sensing and MEMAC. Innovations and Trends in Computer and Communication Engineering. ITCCE, 4 (December 2014), 23-28.

author = { Swati Gawand, Santosh Kumar },
title = { Energy Efficient Clustering Method for Wireless Sensor Network By Using Compressive Sensing and MEMAC },
journal = { Innovations and Trends in Computer and Communication Engineering },
issue_date = { December 2014 },
volume = { ITCCE },
number = { 4 },
month = { December },
year = { 2014 },
issn = 0975-8887,
pages = { 23-28 },
numpages = 6,
url = { /proceedings/itcce/number4/19064-2031/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Proceeding Article
%1 Innovations and Trends in Computer and Communication Engineering
%A Swati Gawand
%A Santosh Kumar
%T Energy Efficient Clustering Method for Wireless Sensor Network By Using Compressive Sensing and MEMAC
%J Innovations and Trends in Computer and Communication Engineering
%@ 0975-8887
%N 4
%P 23-28
%D 2014
%I International Journal of Computer Applications

In the Wireless sensor network, there may be possibility of failure of nodes because of the power drained or addition of new nodes or may be change in location of nodes due to physical movement. So to accommodate these types of dynamic changes in sensor nodes . MEMAC (Mobile Energy Aware Medium Acces Control) protocol presents hybrid scheme of contention based and scheduled based scheme of previous MAC protocol having the purpose of overcome the drawbacks. . To avoid collision and energy consumption it must uses mobility information and acquires schedule according to mobility conditions and it also needs proper designing of mobility model for real life setting. Compressive sensing (CS) can reduce the number of data transmissions and balance the traffic load of the networks. Hence, the total number of data transmissions for collection of data by using pure CS is still large. The hybrid method of using CS to reduce the number of transmissions in sensor networks. Hence, the previous work use the CS method on routing trees. In this paper, a clustering method that uses hybrid CS for sensor networks. The nodes are form in the clusters within that one sensor act as cluster head and other are cluster member . Within a cluster, nodes send data to cluster head (CH) without using CS. CHs use CS to transmit data to sink. In this paper Compressive sensing and MEMAC protocol is used for reducing the energy consumption of sensor nodes and also to reduce the congestion in the network. .

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Index Terms

Computer Science
Information Sciences


Compressive Sensing Clustering Data Collection Memac Wireless Sensor Networks.