Performance of energy & path loss over Fading Channels of Packet Delivery in Wireless Sensor Networks

Kaibalya Kumar Sethi, Krikshankant Pathak, Santyanarayan Rath
Volume 1: Issue 3, July 2014, pp 133-138

Author's Information
Kaibalya Kumar Sethi1 
Corresponding Author
1GITA / ECE, Bhubaneswar, India

Krikshankant Pathak2
2GITA / ECE, Bhubaneswar, India

Santyanarayan Rath3
3TAT / ECE, Bhubaneswar, India

Research Article -- Peer Reviewed
Published online – 30 July 2014

Open Access article under Creative Commons License

Cite this article – Kaibalya Kumar Sethi, Krikshankant Pathak, Santyanarayan Rath, “Performance of energy & path loss over Fading Channels of Packet Delivery in Wireless Sensor Networks”, International Journal of Analytical, Experimental and Finite Element Analysis, RAME Publishers, vol. 1, issue 3, pp. 133-138, July 2014.

Simulations are currently an essential tool to develop and test wireless sensor networks (WSNs) protocols and to analyze future WSNs applications performance. Researchers often simulate their proposals rather than deploying high-cost test-beds or develops complex mathematical analysis. However, simulation results rely on physical layer assumptions, which are not usually accurate enough to capture the real behavior of a WSN. Such an issue can lead to mistaken or questionable results. Besides, most of the envisioned applications for WSNs consider the nodes to be at the ground level. However, there is a lack of radio propagation characterization and validation by measurements with nodes at ground level for actual sensor hardware. In this paper, we propose to use a low-computational cost, two slope, log-normal path loss near ground outdoor channel model at 868 MHz in WSN simulations. The model is validated by extensive real hardware measurements obtained in different scenarios. In addition, accurate model parameters are provided. This model is compared with the well-known one slope path-loss model. We demonstrate that the two slope log-normal model provides more accurate WSN simulations at almost the same computational cost as the single slope one. It is also shown that the radio propagation characterization heavily depends on the adjusted model parameters for a target deployment scenario: The model parameters have a considerable impact on the average number of neighbours and on the network connectivity..
Index Terms:-
Wireless Sensor Networks (WSNs); Rician Fading; Rayleigh Fading; Bit Error Rate (BER); ARQ; Energy Efficiency; Channel modelling; simulation
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