On the Energy Efficiency of WSN Communications Operating Under Non-coherent M-FSK and M-QAM Modulations

To make Wireless Sensor Network (WSN) market growth a reality, we need to empower the network designers with a provision to optimally tailor the physical layer parameters. In this paper, we present a holistic analysis of energy related aspects of WSN communications operating under Rayleigh fading, using standardized WSN specifications. The rational expressions have been derived by taking into consideration the effects of packet size, repeated training sequences, transmission distance, path-loss, amplifier efficiency, bandwidth of the channel and active mode span for Non-coherent M-ary FSK (NC-MFSK) and M-QAM modulation schemes. The results of variation of total energy consumption along with various parameters like path-loss, amplifier efficiency, hop distance and packet size have been investigated. We found that for small transmission distances, M-QAM modulation performs better than NC-MFSK scheme, but as the distance increases the NC-MFSK outperforms the M-QAM in the terms of energy efficiency. Moreover, for communications operating with NC-MFSK modulation, the crossover point of better energy efficiency is achieved at lesser distance with increase in value of path-loss parameter. These results may enable the network designers to plan energy-efficient WSN communication architectures even in the presence of constrained environments.

[1]  Ali Ghiasian,et al.  Enhanced lifetime maximization algorithm for wireless sensor network , 2011, 2011 7th International Wireless Communications and Mobile Computing Conference.

[2]  Joel J. P. C. Rodrigues,et al.  Underwater Wireless Sensor Communications in the 2.4 GHz ISM Frequency Band , 2012, Sensors.

[3]  Ritesh Madan,et al.  Distributed algorithms for maximum lifetime routing in wireless sensor networks , 2006, IEEE Global Telecommunications Conference, 2004. GLOBECOM '04..

[4]  Konstantinos N. Plataniotis,et al.  Green modulations in energy-constrained wireless sensor networks , 2010, IET Commun..

[6]  P. Mohana Shankar,et al.  Error Rates in Generalized Shadowed Fading Channels , 2004, Wirel. Pers. Commun..

[7]  Andrea J. Goldsmith,et al.  Energy-constrained modulation optimization , 2005, IEEE Transactions on Wireless Communications.

[8]  Emin Gün Sirer,et al.  On selection of optimal transmission power for ad hoc networks , 2003, 36th Annual Hawaii International Conference on System Sciences, 2003. Proceedings of the.

[9]  Harsh K. Verma,et al.  On the Energy Utilization of WSN Communications Using Space-Time Block Coding Over BPSK and M-QAM Modulations , 2015, Int. J. Wirel. Inf. Networks.

[10]  George K. Karagiannidis,et al.  On the performance analysis of digital communications over generalized-K fading channels , 2006, IEEE Communications Letters.

[11]  Hideki Ochiai,et al.  Energy Optimization for Reliable Point-to-Point Communication in Energy-Constrained Networks , 2010, 2010 IEEE 71st Vehicular Technology Conference.

[12]  Harsh K. Verma,et al.  Impact of Physical Layer Jamming on Wireless Sensor Networks with Shadowing and Multicasting , 2012 .

[13]  Jan M. Rabaey,et al.  The Energy-per-Useful-Bit Metric for Evaluating and Optimizing Sensor Network Physical Layers , 2006, 2006 3rd Annual IEEE Communications Society on Sensor and Ad Hoc Communications and Networks.

[14]  Fuqin Xiong Digital Modulation Techniques , 2000 .

[15]  Harsh K. Verma,et al.  On the energy utilization for WSN based on BPSK over the Generalized-K shadowed fading channel , 2014, Wirel. Networks.

[16]  Zhang Jianhua,et al.  Comparative Analysis of M-ary Modulation Techniques for Wireless Ad-hoc Networks , 2007, 2007 IEEE Sensors Applications Symposium.

[17]  Bülent Tavli,et al.  Optimizing physical-layer parameters for wireless sensor networks , 2011, TOSN.

[18]  David Blaauw,et al.  Analysis and Optimization of Sleep Modes in Subthreshold Circuit Design , 2007, 2007 44th ACM/IEEE Design Automation Conference.

[19]  M. Balakrishnan,et al.  Integrated energy analysis of error correcting codes and modulation for energy efficient wireless sensor nodes , 2009, IEEE Transactions on Wireless Communications.

[20]  Usa Vilaipornsawai,et al.  A novel turbo coding scheme for satellite ATM using Reed-Muller codes , 2003, IEEE Trans. Commun..