Cross-layer network lifetime optimisation considering transmit and signal processing power in wireless sensor networks

Article


Yetgin, H., Cheung, K.T.K., El-Hajjar, M. and Hanzo, L. 2014. Cross-layer network lifetime optimisation considering transmit and signal processing power in wireless sensor networks. IET Wireless Sensor Systems. 4 (4), pp. 176-182. https://doi.org/10.1049/iet-wss.2014.0049
TypeArticle
TitleCross-layer network lifetime optimisation considering transmit and signal processing power in wireless sensor networks
AuthorsYetgin, H., Cheung, K.T.K., El-Hajjar, M. and Hanzo, L.
Abstract

Maintaining high energy efficiency is essential for increasing the lifetime ot 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 maximising the network lifetime (NL). In this paper, we optimise the NL of WNSs by analysing the impact of the physical layer parameters as well as of the signal processing power (SPP) Psp on the NL. We characterise 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 SPI.

Sustainable Development Goals11 Sustainable cities and communities
Middlesex University ThemeSustainability
PublisherInstitution of Engineering and Technology (IET)
JournalIET Wireless Sensor Systems
ISSN2043-6386
Electronic2043-6394
Publication dates
Online01 Dec 2014
Print01 Dec 2014
Publication process dates
Submitted06 Jun 2014
Accepted16 Oct 2014
Deposited15 Apr 2024
Output statusPublished
Digital Object Identifier (DOI)https://doi.org/10.1049/iet-wss.2014.0049
LanguageEnglish
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