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Data Aggregation based Cooperative MIMO System for Wireless Sensor Networks: Performance Analysis

by Syed Akhtar Imam, Vibhav Kumar Sachan, Shivani Singh
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 90 - Number 4
Year of Publication: 2014
Authors: Syed Akhtar Imam, Vibhav Kumar Sachan, Shivani Singh
10.5120/15559-4096

Syed Akhtar Imam, Vibhav Kumar Sachan, Shivani Singh . Data Aggregation based Cooperative MIMO System for Wireless Sensor Networks: Performance Analysis. International Journal of Computer Applications. 90, 4 ( March 2014), 1-7. DOI=10.5120/15559-4096

@article{ 10.5120/15559-4096,
author = { Syed Akhtar Imam, Vibhav Kumar Sachan, Shivani Singh },
title = { Data Aggregation based Cooperative MIMO System for Wireless Sensor Networks: Performance Analysis },
journal = { International Journal of Computer Applications },
issue_date = { March 2014 },
volume = { 90 },
number = { 4 },
month = { March },
year = { 2014 },
issn = { 0975-8887 },
pages = { 1-7 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume90/number4/15559-4096/ },
doi = { 10.5120/15559-4096 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:11:33.773417+05:30
%A Syed Akhtar Imam
%A Vibhav Kumar Sachan
%A Shivani Singh
%T Data Aggregation based Cooperative MIMO System for Wireless Sensor Networks: Performance Analysis
%J International Journal of Computer Applications
%@ 0975-8887
%V 90
%N 4
%P 1-7
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

To increase the life span of wireless sensor network, energy consumption must be minimized while satisfying given throughput and delay requirement. In this paper, we described an energy model based on cooperative MIMO scheme considering of both transmission and data aggregation energy is proposed for wireless sensor network. Based on this consequence, jointly considering both cooperative MIMO and data aggregation techniques which shows performance enhancement over conventional SISO system for same signal-to-noise ratio. Moreover, at critical distance value MIMO system outperforms SISO system is compared. The results show that MQAM is the best modulation technique is proved by simulations and suitable diversity technique for energy miniaturization to send a given number of bits are analyzed.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Alamouti diversity schemes Data aggregation Energy Efficiency Wireless sensor network.

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