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Cross-layer network lifetime optimization considering transmit and signal processing power in WSNs

Cross-layer network lifetime optimization considering transmit and signal processing power in WSNs
Cross-layer network lifetime optimization considering transmit and signal processing power in WSNs
Maintaining high energy efficiency is essential for increasing the lifetime of wireless sensor networks (WSNs), where the battery of the sensor nodes cannot be routinely replaced. Nevertheless, the energy budget of the WSN strictly relies on the communication parameters, where the choice of both the transmit power as well as of the modulation and coding schemes (MCSs) plays a significant role in maximizing the network lifetime (NL). In this paper, we optimize the NL of WNSs by analysing the impact of the physical layer parameters as well as of the signal processing power (SPP) P_sp on the NL. We characterize the underlying trade-offs between the NL and bit error ratio (BER) performance for a predetermined set of target signal-to-interference-plus-noise ratio (SINR) values and for different MCSs using periodic transmit-time slot (TS) scheduling in interference-limited WSNs. For a per-link target BER requirement (PLBR) of 10^?3, our results demonstrate that a ’continuous-time’ NL in the range of 0.58?4.99 years is achieved depending on the MCSs, channel configurations, and SPP.
2043-6386
176-182
Yetgin, Halil
61dca21c-f273-4e17-81e7-16abcfb4cd32
Cheung, Kent Tsz Kan
2cd81603-71fa-4ef6-b859-5892fdb08bfd
El-Hajjar, Mohammed
3a829028-a427-4123-b885-2bab81a44b6f
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Yetgin, Halil
61dca21c-f273-4e17-81e7-16abcfb4cd32
Cheung, Kent Tsz Kan
2cd81603-71fa-4ef6-b859-5892fdb08bfd
El-Hajjar, Mohammed
3a829028-a427-4123-b885-2bab81a44b6f
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1

Yetgin, Halil, Cheung, Kent Tsz Kan, El-Hajjar, Mohammed and Hanzo, Lajos (2014) Cross-layer network lifetime optimization considering transmit and signal processing power in WSNs [in special issue: Intelligent Wireless Sensor Networks and Applications] IET Wireless Sensor Systems, 4, (4), pp. 176-182. (doi:10.1049/iet-wss.2014.0049).

Record type: Article

Abstract

Maintaining high energy efficiency is essential for increasing the lifetime of wireless sensor networks (WSNs), where the battery of the sensor nodes cannot be routinely replaced. Nevertheless, the energy budget of the WSN strictly relies on the communication parameters, where the choice of both the transmit power as well as of the modulation and coding schemes (MCSs) plays a significant role in maximizing the network lifetime (NL). In this paper, we optimize the NL of WNSs by analysing the impact of the physical layer parameters as well as of the signal processing power (SPP) P_sp on the NL. We characterize the underlying trade-offs between the NL and bit error ratio (BER) performance for a predetermined set of target signal-to-interference-plus-noise ratio (SINR) values and for different MCSs using periodic transmit-time slot (TS) scheduling in interference-limited WSNs. For a per-link target BER requirement (PLBR) of 10^?3, our results demonstrate that a ’continuous-time’ NL in the range of 0.58?4.99 years is achieved depending on the MCSs, channel configurations, and SPP.

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Accepted/In Press date: 16 October 2014
e-pub ahead of print date: 17 October 2014
Published date: 12 December 2014
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 370199
URI: http://eprints.soton.ac.uk/id/eprint/370199
ISSN: 2043-6386
PURE UUID: 3a5e4bfc-5688-4df0-b031-0f90f5cb00ed
ORCID for Mohammed El-Hajjar: ORCID iD orcid.org/0000-0002-7987-1401
ORCID for Lajos Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

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Date deposited: 27 Oct 2014 11:19
Last modified: 17 Jul 2017 21:52

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Contributors

Author: Halil Yetgin
Author: Kent Tsz Kan Cheung
Author: Mohammed El-Hajjar ORCID iD
Author: Lajos Hanzo ORCID iD

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