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Cooperative MIMO-OFDM-Based Exposure-Path Prevention Over 3D Clustered Wireless Camera Sensor Networks | IEEE Journals & Magazine | IEEE Xplore

Cooperative MIMO-OFDM-Based Exposure-Path Prevention Over 3D Clustered Wireless Camera Sensor Networks


Abstract:

As compared with 2D wireless camera sensor networks (WCSNs), 3D WCSNs can capture more accurate and comprehensive information for exposure-path prevention in supervisory ...Show More

Abstract:

As compared with 2D wireless camera sensor networks (WCSNs), 3D WCSNs can capture more accurate and comprehensive information for exposure-path prevention in supervisory and military applications. However, 3D WCSNs impose many new challenges for energy-efficiency and interference-mitigation subject to required coverage rate constraint due to extensive power consumption over time-varying wireless channels. To overcome the above-mentioned problems, in this paper we propose the AQ-DBPSK/DS-CDMA (alternating quadratures differential binary phase shift keying/direct-sequence code division multiple access) based cooperative MIMO energy-efficient and interference-mitigating scheme under the constraint of optimal tradeoff between power consumption and coverage rate over multi-hop clustered WCSNs. In particular, we build sensing models to characterize the minimum coverage rate constraint and formulate the exposure-path prevention problem using the percolation theory. Then, we derive the critical density of camera sensors subject to minimum exposure-path prevention probability constraint. We develop the AQ-DBPSK/DS-CDMA scheme and also derive the optimal data rate to optimize transmit-power and data-rate trade-off. By deriving the critical density of camera sensors over 3D WCSNs, we apply the cooperative MIMO based NEW LEACH architecture for our multi-hop cooperative MIMO scheme. Also conducted is a set of simulations which show that our proposed scheme can outperform other existing schemes in terms of energy efficiency and interference-mitigation over multi-hop 3D clustered WCSNs.
Published in: IEEE Transactions on Wireless Communications ( Volume: 19, Issue: 1, January 2020)
Page(s): 4 - 18
Date of Publication: 12 August 2019

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I. Introduction

The explosive development in VLSI devices and image sensor techniques has enabled the cost effective development of the large-scale, small-size, and energy-saving wireless camera sensor networks (WCSNs). As a result, how to efficiently design and implement WCSNs in many critical applications, such as the battlefield surveillance, homeland security, industrial process supervision, and health monitoring systems has received a great deal of research attention from both academia and industry [1], [2].

References

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