Load Density Analysis of Mobile Zigbee Coordinator in Hexagonal Configuration
Author(s)
S. R. Ramyah
ABSTRACT
Mobility is one of the major new paradigms of the current Internet, and this is driving most of the research activity in networking throughout the World. The Mobility of Wireless Sensor Networks (WSN) has become a hot research theme in recent years due to its wide range of applications ranging from medical research to military. The widely adopted standard for wireless sensor network platform is IEEE 802.15.4/ZigBee. The IEEE 802.15.4/ZigBee is considered the “technology of choice” due to low-power, cost-effective communication and the reliability they provide. In this paper, we perform extensive network evaluation, to study the Effect of coordinator mobility on ZigBee mesh network, using OPNET Modeler. In mobile coordinator, the type of the trajectory along with the node density and the traffic are the major factors that decide the system performance. The results obtained from the wide analysis of ZigBee mesh network shows variation when the routers are placed at Hexagonal configuration with a mobile coordinator. In this paper, variations in load metric is analyzed in hexagonal configuration by enabling and disabling ACK. Thus the status of ACK also plays a critical role in analysing load metrics.
Mobility is one of the major new paradigms of the current Internet, and this is driving most of the research activity in networking throughout the World. The Mobility of Wireless Sensor Networks (WSN) has become a hot research theme in recent years due to its wide range of applications ranging from medical research to military. The widely adopted standard for wireless sensor network platform is IEEE 802.15.4/ZigBee. The IEEE 802.15.4/ZigBee is considered the “technology of choice” due to low-power, cost-effective communication and the reliability they provide. In this paper, we perform extensive network evaluation, to study the Effect of coordinator mobility on ZigBee mesh network, using OPNET Modeler. In mobile coordinator, the type of the trajectory along with the node density and the traffic are the major factors that decide the system performance. The results obtained from the wide analysis of ZigBee mesh network shows variation when the routers are placed at Hexagonal configuration with a mobile coordinator. In this paper, variations in load metric is analyzed in hexagonal configuration by enabling and disabling ACK. Thus the status of ACK also plays a critical role in analysing load metrics.
Cite this paper
S. R. Ramyah, "Load Density Analysis of Mobile Zigbee Coordinator in Hexagonal Configuration," Wireless Sensor Network, Vol. 4 No. 3, 2012, pp. 59-64. doi: 10.4236/wsn.2012.43009.
S. R. Ramyah, "Load Density Analysis of Mobile Zigbee Coordinator in Hexagonal Configuration," Wireless Sensor Network, Vol. 4 No. 3, 2012, pp. 59-64. doi: 10.4236/wsn.2012.43009.
References
[1] Sinem Coleri Ergen, “ZigBee/IEEE 802.15.4 Summary,” 10 September 2004. [2] A. A. Somasundara, A. Ramamoorthy and M. B. Srivastava, “Mobile Element Scheduling for Efficient Data Collection in Wireless Sensor Networks with Dy-namic Deadlines,” 25th IEEE International Real-Time Systems Symposium (RTSS), Lisbon, 5-8 December 2004, pp. 296-305. doi:10.1109/REAL.2004.31 [3] M. Shakya, J. Zhang, P. Zhang and M. Lampe, “Design and Optimization of Wireless Sensor Network with Mobile Gateway,” 21st International Conference on Advanced Information Networking and Applications Workshops (AINA’07), Niagara Falls, 21-23 May 2007, pp. 415-420. [4] F. Zhao and L. Guibas, “Wireless Sensor networks—An Information Processing Approach,” Morgan Kaufmann Publishers, Waltham, pp. 200-203. [5] E. Ekici, Y. Gu and D. Bozdag, “Mobility-Based Communication in Wireless Sensor Networks,” IEEE Communications Magazine, Vol. 44, No. 7, 2006, pp. 56-62. doi:10.1109/MCOM.2006.1668382 [6] J. Luo, J. Panchard, M. Piorkowski, M. Grossglauser and J.-P. Hubaux, “Mobi-Route: Routing towards a Mobile Sink for Improving Lifetime in Sensor Networks,” 2nd IEEE/ACM International Conference on Distributed Computing in Sensor, San Francisco, 18-20 June 2006. [7] Y. Bi, L. Sun, J. Ma, N. Li, I. A. Khan and C. Chen, “HUMS: An Autonomous Moving Strategy for Mobile Sinks in Data-Gathering Sensor Networks,” EURASIP Journal on Wireless Communications and Networking, 2007, Article ID: 164574. [8] Z. Vincze and R. Vida, “Multi-Hop Wireless Sensor Networks with MobileSink”, ACM Conference on Emerging Network Experiment and Technology (CoNEXT’05), Toulouse, 24-17 October 2005. [9] Z. Alliance, “Zigbee Specification v1.0,” June 2008. http://www.zigbee.org [10] OPNET Modeler Inc., November 2008. http://www.opnet.com/solutions/network_rd/modeler.html [11] N. Vlajic and D. Stevanovic, “Sink Mobility in Wireless Sensor Networks: A (Mis)Match between Theory and Practice,” Proceedings of the 2009 International Conference on Wireless Communications and Mobile Computing, Leipzig, 12-14 October 2009.
[1] Sinem Coleri Ergen, “ZigBee/IEEE 802.15.4 Summary,” 10 September 2004. [2] A. A. Somasundara, A. Ramamoorthy and M. B. Srivastava, “Mobile Element Scheduling for Efficient Data Collection in Wireless Sensor Networks with Dy-namic Deadlines,” 25th IEEE International Real-Time Systems Symposium (RTSS), Lisbon, 5-8 December 2004, pp. 296-305. doi:10.1109/REAL.2004.31 [3] M. Shakya, J. Zhang, P. Zhang and M. Lampe, “Design and Optimization of Wireless Sensor Network with Mobile Gateway,” 21st International Conference on Advanced Information Networking and Applications Workshops (AINA’07), Niagara Falls, 21-23 May 2007, pp. 415-420. [4] F. Zhao and L. Guibas, “Wireless Sensor networks—An Information Processing Approach,” Morgan Kaufmann Publishers, Waltham, pp. 200-203. [5] E. Ekici, Y. Gu and D. Bozdag, “Mobility-Based Communication in Wireless Sensor Networks,” IEEE Communications Magazine, Vol. 44, No. 7, 2006, pp. 56-62. doi:10.1109/MCOM.2006.1668382 [6] J. Luo, J. Panchard, M. Piorkowski, M. Grossglauser and J.-P. Hubaux, “Mobi-Route: Routing towards a Mobile Sink for Improving Lifetime in Sensor Networks,” 2nd IEEE/ACM International Conference on Distributed Computing in Sensor, San Francisco, 18-20 June 2006. [7] Y. Bi, L. Sun, J. Ma, N. Li, I. A. Khan and C. Chen, “HUMS: An Autonomous Moving Strategy for Mobile Sinks in Data-Gathering Sensor Networks,” EURASIP Journal on Wireless Communications and Networking, 2007, Article ID: 164574. [8] Z. Vincze and R. Vida, “Multi-Hop Wireless Sensor Networks with MobileSink”, ACM Conference on Emerging Network Experiment and Technology (CoNEXT’05), Toulouse, 24-17 October 2005. [9] Z. Alliance, “Zigbee Specification v1.0,” June 2008. http://www.zigbee.org [10] OPNET Modeler Inc., November 2008. http://www.opnet.com/solutions/network_rd/modeler.html [11] N. Vlajic and D. Stevanovic, “Sink Mobility in Wireless Sensor Networks: A (Mis)Match between Theory and Practice,” Proceedings of the 2009 International Conference on Wireless Communications and Mobile Computing, Leipzig, 12-14 October 2009.