Performance of IEEE 802.15.4 in wireless sensor networks with a mobile sink implementing various mobility strategies

In this work, we investigate the advantages and challenges of deploying a single mobile sink in IEEE 802.15.4/ZigBee wireless sensor networks (WSNs). The first part of the paper provides an overview of the most recent research on sink mobility in WSNs, placing a special emphasis on different types of sink mobility (random, predictable and controlled) and discussing the application scenarios most suitable for their respective deployment. In the second part of the paper, our OPNET model for simulation of large-scale and ZigBee-based wireless sensor networks is presented. The model enables effective evaluation of random and predictable sink mobility under varying conditions and forms of routing in the underlying ZigBee WSN. The results obtained using this model show that in terms of energy efficiency ZigBeepsilas tree-based routing outperforms ZigBeepsilas mesh routing, both in the case of random and predictable sink mobility. At the same time, under both mobility models, tree-based routing generates longer delays in the delivery of data reporting packets. Furthermore, when compared against each other assuming identical network conditions, random mobility is shown to achieve higher energy efficiency and shorter packet delays than predictable mobility.

[1]  Charles E. Perkins,et al.  Ad hoc On-Demand Distance Vector (AODV) Routing , 2001, RFC.

[2]  Jun Luo,et al.  MobiRoute: Routing Towards a Mobile Sink for Improving Lifetime in Sensor Networks , 2006, DCOSS.

[3]  Francesca Cuomo,et al.  Routing in ZigBee: Benefits from Exploiting the IEEE 802.15.4 Association Tree , 2007, 2007 IEEE International Conference on Communications.

[4]  Kameswari Chebrolu,et al.  Censor networks: a critique of "sensor networks" from a systems perspective , 2008, CCRV.

[5]  Jianhua Zhang,et al.  Design and Optimization of Wireless Sensor Network with Mobile Gateway , 2007, 21st International Conference on Advanced Information Networking and Applications Workshops (AINAW'07).

[6]  Ioannis Chatzigiannakis,et al.  Sink mobility protocols for data collection in wireless sensor networks , 2006, MobiWac '06.

[7]  Ivan Stojmenovic,et al.  Sensor Networks , 2005 .

[8]  Ahmed Karmouch,et al.  Deployment-based Solution for Prolonging Network Lifetime in Sensor Networks , 2008, WSAN.

[9]  Jun Luo,et al.  Joint mobility and routing for lifetime elongation in wireless sensor networks , 2005, Proceedings IEEE 24th Annual Joint Conference of the IEEE Computer and Communications Societies..

[10]  Jian Ma,et al.  Simulation Study of AODV Performance over IEEE 802.15.4 MAC in WSN with Mobile Sinks , 2007, 21st International Conference on Advanced Information Networking and Applications Workshops (AINAW'07).

[11]  Francesco Chiti,et al.  A System Architecture Supporting Mobile Applications in Disconnected Sensor Networks , 2007, IEEE GLOBECOM 2007 - IEEE Global Telecommunications Conference.

[12]  Wilfried N. Gansterer,et al.  Congestion Avoidance and Energy Efficient Routing Protocol for Wireless Sensor Networks with a Mobile Sink , 2007, J. Networks.

[13]  Emanuel Melachrinoudis,et al.  Controlled sink mobility for prolonging wireless sensor networks lifetime , 2008, Wirel. Networks.