Cross‐layer network lifetime optimisation considering transmit and signal processing power in wireless sensor networks. Issue 4 (1st December 2014)

• Record Type: Journal Article
• Authors: Yetgin, Halil; Cheung, Kent Tsz Kan; El‐Hajjar, Mohammed; Hanzo, Lajos
• Is Part Of: IET wireless sensor systems. Volume 4:Issue 4(2014)
• Page Start: 176
• Page End: 182
• Publication Date: 2014-12-01
• Subjects: signal processing -- wireless sensor networks -- telecommunication power management -- modulation coding -- error statistics -- scheduling -- nonlinear programming -- linear programming -- convolutional codes -- decoding -- quadrature phase shift keying -- AWGN channels -- concatenated codes -- Rayleigh channels -- energy conservation; cross‐layer network lifetime optimisation -- signal processing power -- wireless sensor network -- WSN -- sensor nodes battery -- WSN energy budget -- transmit power -- modulation and coding scheme -- MCS -- bit error ratio -- signal‐to‐interference‐plus‐noise ratio -- SINR -- periodic transmit‐time slot scheduling -- TS scheduling -- NL maximisation -- nonlinear optimisation problem -- nonlinear energy consumption constraint -- linear programming problem -- PLBR -- convolutional coded soft‐decoded quadrature phase‐shift keying -- additive white Gaussian noise channel -- concatenated coding -- Rayleigh fading channel -- SPP -- interior point method -- per‐link target BER requirement -- energy efficiency; Wireless sensor networks -- Periodicals; 681.2
• DOI: 10.1049/iet-wss.2014.0049
• Languages: English
• ISSNs: 2043-6386

Abstract

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) P sp 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.