Performance Comparison of Wireless Sensor Networks for Different Speeds of Multi Mobile Sensor Nodes

Wireless Sensor Networks (WSNs) have become a hot research theme in academia as well as in industry in recent years due to its wide range of applications ranging from medical research to military. In this paper, we study the effect of IEEE 802.15.4 MAC standard on the performance of AODV protocol for WSNs environment with mobile sensors. The WSNs should allow a systematic deployment of sensor nodes including mobility among the sensor nodes. The disseminated data from the sensor nodes are gathered at the sink node. Data dissemination is the major source for energy consumption in WSNs. We consider as evaluation parameter good put, depletion and Routing Efficiency (RE) to evaluate the performance of WSNs considering different speeds of mobile sensor nodes. The simulation results show that when the network is not congested, the good put is higher for higher values of the speed. The depletion is almost the same for low values of Tr. For high values of Tr (more than 850 pps), the RE has better performance when the mobile sensor nodes move at 10m/s.

[1]  Deborah Estrin,et al.  Controllably mobile infrastructure for low energy embedded networks , 2006, IEEE Transactions on Mobile Computing.

[2]  Özgür B. Akan,et al.  Event-to-sink reliable transport in wireless sensor networks , 2005, IEEE/ACM Transactions on Networking.

[3]  Fatos Xhafa,et al.  Comparison Evaluation of Static and Mobile Sensor Nodes in Wireless Sensor Networks Considering Packet-Loss and Delay Metrics , 2011, 2011 Third International Conference on Intelligent Networking and Collaborative Systems.

[4]  Andrea Goldsmith,et al.  Wireless Communications , 2005, 2021 15th International Conference on Advanced Technologies, Systems and Services in Telecommunications (TELSIKS).

[5]  Martín López-Nores,et al.  TOPICS IN AD HOC AND SENSOR NETWORKS , 2008 .

[6]  Leonard Barolli,et al.  Impact of radio randomness on performances of lattice wireless sensors networks based on event-reliability concept , 2006, Mob. Inf. Syst..

[7]  Ossama Younis,et al.  HEED: a hybrid, energy-efficient, distributed clustering approach for ad hoc sensor networks , 2004, IEEE Transactions on Mobile Computing.

[8]  Bhaskar Krishnamachari,et al.  Learning-enforced time domain routing to mobile sinks in wireless sensor fields , 2004, 29th Annual IEEE International Conference on Local Computer Networks.

[9]  Fatos Xhafa,et al.  Performance Evaluation of Wireless Sensor Networks for Mobile Sink Considering Consumed Energy Metric , 2010, 2010 IEEE 24th International Conference on Advanced Information Networking and Applications Workshops.

[10]  Jon Crowcroft,et al.  Overload traffic management for sensor networks , 2007, TOSN.

[11]  Deborah Estrin,et al.  Medium access control with coordinated adaptive sleeping for wireless sensor networks , 2004, IEEE/ACM Transactions on Networking.

[12]  S. Griffis EDITOR , 1997, Journal of Navigation.

[13]  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..

[14]  K. Fodor,et al.  Electrostatic Modelling of Multiple Mobile Sinks in Wireless Sensor Networks , 2006 .

[15]  Catherine Rosenberg,et al.  Topics in ad hoc and sensor networks , 2006, IEEE Commun. Mag..

[16]  Sandeep S. Kulkarni,et al.  TDMA service for sensor networks , 2004, 24th International Conference on Distributed Computing Systems Workshops, 2004. Proceedings..

[17]  Abbas Jamalipour,et al.  Wireless communications , 2005, GLOBECOM '05. IEEE Global Telecommunications Conference, 2005..