Measurement of Energy Consumption of WSN for Indoor Environment

Year 2017, Volume: 4 Issue: 2, 87 - 93, 10.08.2017

Şeyma Aymaz , Gökçe Hacıoğlu

Abstract

A wireless sensor
network (WSN) is a wireless network consisting of distributed autonomous
devices using sensors to observe physical or environmental conditions. The
energy consumption is very important for WSNs. The paper presents that
measurement of the energy consumption of indoor environment. Ti CC2538 modules
were used as WSN nodes and they were programmed via Contiki Operating System
(OS). Simulator of Contiki OS is COOJA. The program was simulated with COOJA
before being tried in real life. Then, measurements were taken directly from
the module via Labview and DAQ card. The network used Low Energy Adaptive
Clustering Hierarchy (Leach) protocol which is a very popular networking protocol
for WSN. The nodes in the network were prevented to go in sleep mode. Therefore,
measurements showed transmit and receive mode energy consumption. On the other hand,
cluster head election period and transmission period of sensed data selected as
short as possible to make measurements in a short time. The proposed
measurement system can be used evaluate any new networking protocol more
realistically.

Keywords

WSN, Contiki OS, COOJA, energy consumption, LEACH

References

• Sindhwani, N., Vaid, R., 2013, “V LEACH: AN ENERGY EFFICIENT COMMUNICATION PROTOCOL FOR WSN”, Mechanica Confab, pp. 79-84.
• Rashid, B., Rehmani, M. H., 2016, “Applications of wireless sensor networks for urban areas: A survey”, Journal of Network and Computer Applications, pp. 192–219.
• Steiner, R. V., Lupu, E., 2016, “Attestation in Wireless Sensor Networks: A Survey”, ACM Computing Surveys, Vol. 49, No. 3, Article 51.
• Pridhi, Dr. R. G., 2016, “Energy Need Minimization by Power Aware Routing in WSN”.
• Yick, J., Mukherjee, B., Ghosal, D., 2008, “Wireless sensor network survey”, Computer Networks, pp. 2292–2330.
• Heinzelman, W. B., Chandrakasan, A., Balakrishnan, H., 2000, “Energy-Efficient Communication Protocol for Wireless Microsensor Networks”, Proceedings of the Hawaii International Conference on System Sciences, January 4-7, Maui, Hawaii.
• Katiyar, V., Chand, N., Gautam, G. C., Kumar, A., 2011, “Improvement in LEACH Protocol for Large-scale Wireless Sensor Networks”, PROCEEDINGS OF ICETECT 2011, 23-24 March, pp. 1070-1075, Nagercoil, India.
• Malik, M., Singh, Dr. Y., Arora, A., 2013, “Analysis of LEACH Protocol in Wireless Sensor Networks”, International Journal of Advanced Research in Computer Science and Software Engineering.
• Liao, Q., Zhu, H., 2013, “An Energy Balanced Clustering Algorithm Based on LEACH Protocol”, Proceedings of the 2nd International Conference On Systems Engineering and Modeling (ICSEM-13), Paris, France.
• Dunkels, A., Grönvall, B., Voigt, T., 2004, “Contiki - a Lightweight and Flexible Operating System for Tiny Networked Sensors”, Proceedings of the 29th Annual IEEE International Conference on Local Computer Networks (LCN’04), 16-18 Nov., Tampa, FL, USA.
• Osterlind, F., Dunkels, A., Eriksson, J., Finne, N., Voigt, T., 2006, “Cross-Level Sensor Network Simulation with COOJA”, 38th Annual IEEE Conference on Local Computer Networks (2006), Nov. 14-16, Tampa, FL.
• Akyildiz, I. F., Vuran, M. C., 2010, “Wireless Sensor Networks”, first edition, John Wiley & Sons Ltd, The Atrium, Southern Gate, Chichester, West Sussex, PO19 8SQ, United Kingdom.
• TEXAS INSTRUMENTS, “CC2538 Powerful Wireless Microcontroller System-On-Chip for 2.4-GHz IEEE 802.15.4, 6LoWPAN, and ZigBee® Applications”, DECEMBER 2012–REVISED APRIL 2015.