Performance Comparison of A New Non-RSSI Based Wireless Transmission Power Control Protocol with RSSI Based Methods:Experimentation with Real World Data

  • Debraj Basu
  • Gourab Sen Gupta
  • Giovanni Moretti
  • Xiang Gui
Keywords: wireless sensor network, energy consumption optimization, adaptive power control

Abstract

In this paper, simulations with MATLAB are used to compare the performance of a RSSI-based output power control with non-RSSI based adaptive power in terms of saving energy and extending the lifetime of battery powered wireless sensor nodes. This non-RSSI (received signal strength indicator) based adaptive power control algorithm does not use RSSI side information to estimate the link quality. The non-RSSI based approach has a unique methodology to choose the appropriate power level. It has drop-off algorithm that enables it to come back from a higher to a lower power level when deemed necessary. The performance parameters are compared with the RSSI-based adaptive power control algorithm and fixed power transmission. In order to evaluate the protocols in the real world scenarios, RSSI data from different indoor radio environments are collected. In simulation, these RSSI values are used as an input to the RSSI based power control algorithm to calculate the packet success rates and the energy expenditures. In this paper we present extensive analysis of the simulation results to find out the advantages and limitations of the non-RSSI based adaptive power control algorithm under different channel conditions.

References

M. Weiser, "Ubiquitous computing", http://www.ubiq.com/weiser/UbiHome.html," March 17, 1996.

Philips Research - Technologies, "What is ambient intelligence,"

http://www.research.philips.com/technologies/projects/ami/, 2015.

J. P. Sheu, K. Y. Hsieh and Y. K. Cheng, "Distributed transmission power control algorithm for wireless sensor networks,"

Journal Of Information Science And Engineering, vol. 25, no. 5, pp. 1447-1463, 2009.

S. Lin, J. Zhang, G. Zhou, T. H. Lin Gu and J. A. Stankovic, "ATPC: adaptive transmission power control for wireless

sensor networks," in Proc. IEEE SenSys, Oct. 2006, pp. 223-236.

N. Baccour, A. Koubaa, L. Mottola, M. A. Zuniga, H. Youssef, C. A. Boana and M. Alves, "Radio link quality estimation

in wireless sensor networks: A Survey," ACM Transactions on Sensor Networks, vol. 8, no. 4, pp. 1-35, 2012.

Chipcon products from Texas Instruments, "2.4 GHz IEEE 802.15.4 / ZigBee-ready RF Transceiver,”

http://www.ti.com/lit/ds/symlink/cc2420.pdf, Oct. 2014.

Y. Fu, M. Sha, G. Hackmann and C. Lu, "Practical control of transmission power for wireless sensor networks," Proc. 20th

IEEE International Conference on Network Protocols (ICNP ‘12), IEEE press, Oct. 2012, pp. 1-10.

G. Hackmann, O. Chipara and C. Lu, "Robust topology control for indoor wireless sensor networks," Proc. ACM

conference on Embedded network sensor systems, 2008, pp. 57-70.

S. Soltani, M. U. Ilyas and H. Radha, "An energy efficient link layer protocol for power-constrained wireless networks,"

Proc. International Conference on Computer Communications and Networks (ICCCN ‘11), July. 2011, pp. 1-6.

L. Zheng, W. Wang, A. Mathewson, B. O’Flynn and M. Hayes, "An adaptive transmission power control method for

wireless sensor networks," in Proc. ISSC, June. 2010, pp. 261-265.

J. Jeong, D. Culler and J. H. Oh, "Empirical analysis of transmission power control algorithms for wireless sensor

networks," International Conference on Networked Sensing Systems, 2007, pp. 27-34.

D. Lal, A. Manjeshwar, F. Herrmann, E. Uysal-Biyikoglu and A. Keshavarzian, "Measurement and characterization of link

quality metrics in energy constrained wireless sensor networks," Proc. IEEE Global Telecommunications Conference

(GLOBECOM ‘03), IEEE press, Dec. 2003, vol. 1, pp. 446-452.

A. Sheth and R. Han, "An implementation of transmit power control in 802.11b Wireless Networks," University of

Colorado at Boulder, 2002.

"nRF24L01+ Single Chip 2.4GHz Transceiver Product Specification v1.0,"

http://www.nordicsemi.com/eng/Products/2.4GHz-RF/nRF24L01P.

D. G. Zhang, Y. N. Zhu, C. P. Zhao, and W. B. Dai, "A new constructing approach for a weighted topology of wireless

sensor networks based on local-world theory for the Internet of Things (IOT) ," Computers and Mathematics with Applications, Elsevier, 2012, pp. 1044-1055.

D. G. Zhang and Y. P. Liang, "A kind of novel method of service-aware computing for uncertain mobile applications," Mathematical and Computer Modelling, Elsevier, Jun. 2012, pp. 344-356.

D. G. Zhang, G. Li, K. Zheng, X. C. Min, and Z. H. Pan, "An energy-balanced routing method based on forward-aware factor for wireless sensor networks," IEEE Transactions On Industrial Informatics, vol. 10, no. 1, Feb. 2014, pp. 766-773.

D. G. Zhang and X. D. Zhang, "Design and implementation of embedded uninterruptible power supply system (EUPSS) for

web-based mobile application," Enterprise Information Systems, vol. 6, no. 4, pp. 473-489, DOI: 10.1080/17517575.2011.626872.

D. G. Zhang, K. Zheng, T. Zhang, and X. Wang, "A novel multicast routing method with minimum transmission for WSN

of cloud computing service," Soft Comput, Springer-Verlag Berlin Heidelberg, pp. 1817–1827, 2014.

D. G. Zhang, “A new approach and system for attentive mobile learning based on seamless migration,” Applied Intelligence, vol. 36, no. 1, pp. 75-89, 2012.

D. G. Zhang, X. Wang, and X. D. Song, “A novel approach to mapped correlation of ID for RFID anti-collision”, IEEE

Transactions on Services Computing,” vol. 7, no. 4, pp. 741-748, 2014.

D. G. Zhang, X. D. Song, and X. Wang, “New agent-based proactive migration method and system for big data environment (BDE),” Engineering Computations, vol. 32, no. 8, pp. 2443- 2466, 2015.

D. Basu, G. Sen Gupta, G. Moretti, and X. Gui, "Protocol for improved energy efficiency in wireless sensor networks to support mobile robots," Proc. International Conference on Automation, Robotics and Applications (ICARA), Feb. 2015, pp. 230-237.

D. Basu, G. Sen Gupta, G. Moretti, and X. Gui, “Performance comparison of a novel adaptive protocol with the fixed power transmission in wireless sensor networks,” Journal of Sensor and Actuator Networks, Multidisciplinary Digital Publishing Institute (MDPI AG), pp. 274-292, Sep. 2015.

A. S. Tanenbaum and Computer Networks, Chapter 4, 4th ed., Prentice Hall PTR, 2002.

IEEE Standard for Information technology, IEEE Computer Society, 2002.

"Universal Mobile Telecommunications System (UMTS); Selection procedures for the choice of radio transmission technologies of the UMTS (UMTS 30.03 version 3.1.0)," UMTS, 2011.

K. Srinivasan and P. Levis, "RSSI is under appreciated," in Workshop on Embedded Networked Sensors (EmNets), 2006.

D. Schmidt, M. Berning, and N. Wehn, "Error correction in single-hop wireless sensor networks - A case study," Conference & Exhibition of Design, Automation & Test in Europe, 2009, pp. 1530-1591.

"NetSurveyor — 802.11 Network Discovery / WiFi Scanner," http://nutsaboutnets.com/netsurveyor-wifi-scanner/.

"Beacon Frame," http://en.wikipedia.org/wiki/Beacon_frame.

J. Geier, "802.11 Beacons Revealed," http://www.wi-fiplanet.com/tutorials/print.php/1492071, Oct. 2002

Published
2016-01-01
How to Cite
Basu, D., Gupta, G. S., Moretti, G., & Gui, X. (2016). Performance Comparison of A New Non-RSSI Based Wireless Transmission Power Control Protocol with RSSI Based Methods:Experimentation with Real World Data. International Journal of Engineering and Technology Innovation, 6(1), 30-54. Retrieved from http://ojs.imeti.org/index.php/IJETI/article/view/41
Section
Articles