Hierarchal Grouping Strategy with Adaptive Power Tuning in ZigBee Wireless Sensor Networks

Subject Areas : Sensor Networks

Mehran Pourmohammad Abdollahi ¹ , Javad Musevi Niya ² , Payman Mahmoudi Biroun ³

1 - University of Tabriz
2 - University of Tabriz
3 - University of Tabriz

Received: 2015-12-27 Accepted : 2016-02-11 Published : 2016-02-01

Keywords: hierarchy, Hidden node problem, Quality of Service (QoS), exposed node problem, power consumption,

Abstract :

Designing wireless sensor networks should meet appropriate parameters such as quality of service (QoS) defined by different users. The variable physical conditions of the environment, processing and transmission power limitations and limited communication capabilities are the most important obstacles that influence QoS parameters such as throughput, delay, reliability and network lifetime. The most important problems that directly have destructive effects on these parameters are hidden and exposed node problems. These problems extremely decrease throughput and increase delay and power consumption in the network. In this paper, we propose a new and efficient method that relies on clustering, grouping and subgrouping strategy to create smaller zones and avoid collisions. By allocating different transmission powers to different nodes depending on their hierarchy level in the network, the mentioned problems decrease and as a result power consumption decreases due to reduction in the retransmissions. This mechanism has been simulated by OPNET on IEEE802.15.4/Zigbee

References:

[1] B. Krishnamachari, Networking Wireless Sensors, Cambridge University Press, 2005.
[2] ZigBee Specifications, Sponsored by: ZigBee Alliance, 2008.
[3] A. Koubâa, R. Severino, M. Alves, and E. Tovar, "Improving Quality-of-Service in Wireless Sensor Networks by Mitigating Hidden-Node Collisions" IEEE Trans. on Industrial Informatics, vol. 5, No. 3, 2009.
[4] OPNET Tech. [Online]. Available: http://www.opnet.com, 2006
[5] S. Ray, D. Starobinski, and J. B. Carruthers, “Performance of wireless networks with hidden nodes: A queuing-theoretic analysis,” Comput, Commun., vol. 28, pp. 1179–1192, 2005.
[6] S. Ray, J. Carruthers, and D. Starobinski, “Evaluation of the masked node problem in ad-hoc wireless LANs,” IEEE Trans. Mobile Comput., vol. 4, pp. 430–442, 2005.
[7] F. A. Tobagi and L. Kleinrock, "Packet switching in radio channels: Part II—The hidden terminal problem in carrier sense multiple-accessand the busy-tone solution" IEEE Trans. Commun., vol. 23, pp.1417–1433, 1975.
[8] F. A. Tobagi and L. Kleinrock, "Packet switching in radio channels: Part III—Polling and (dynamic) split channel reservation multiple access" IEEE Trans. Comput., vol. 24, no. 7, pp. 832–845, 1976.
[9] P. Karn, "MACA—A new channel access method for packet radio" in Proc.9thARRL/CRRL Amateur Radio Comput. Netw. Conf. pp. 134–140, 1990.
[10] K. Sohraby, D. Minoli, T. Znati, Wireless Sensor Networks Technology, Protocols, and Applications, John Wiley & Sons Inc. 2007.
[11] J. Deng, B. Liang, and P. K. Varshney, "Tuning the carrier sensing range of IEEE 802.11 MAC," in Proc. IEEE Global Telecomm. Conf. (GLOBECOM), 2004, vol. 5, pp. 2987–2991.
[12] H. Zhai and Y. Fang, “Physical carrier sensing and spatial reuse in multirate and multihop wireless ad hoc networks,” in Proc. IEEE INF OCOM, Apr. 2006, pp. 1–12.
[13] L. Hwang, "Grouping strategy for solving hidden node problem in IEEE802.15.4 LR-WPAN" in Proc. IEEE 1st Int. Conf. Wireless Internet (WICON’05), Budapest, Hungary, pp. 26–32, 2005.
[14] Sh. Farahani, ZigBee Wireless Networks and Transceivers, Newnes, Elsevier Ltd. Chapter 1,2,3. 2008.
[15] K. Sohraby, D. Minoli, T. Znati, Wireless Sensor Networks Technology, Protocols, and Applications John Wiley & Sons Inc. 2007.