Regional Radiation Topology Algorithm for Mobile Sinks in Wireless Sensor Networks

Abstract – Mobile sinks wireless sensor networks (MSWSNs) are composed of a large number of densely deployed sensor nodes with some data collection mobile devices (such as PDA or notebook) to collection sensing data from the networks. In this paper we investigate a novel routing mechanism for the mobile sinks that combine spatiotemporal topology which we called regional radiation topology algorithms to perform reliable communication and energy efficient for mobile sinks in wireless sensor networks. The regional radiation topology idea is inspiration by crystal electric ball that you can see in future teller’s shop. When you move your finger on the circumference of the crystal electric ball, it will connect the static electricity with the core. This phenomenon similar as mobile sinks walk through the sensor networks. The presented approach is validated and evaluate in a simulation environment. We have conducted a simulation study to our work using the GTNetS simulator. Our simulation results show that Regional radiation topology Magnetic-Based Routing Protocol (RRTM) achieves high performance and has more energy saving than other existing protocols.

[1]  Brad Karp,et al.  Greedy Perimeter Stateless Routing for Wireless Networks , 2000 .

[2]  Wendi Heinzelman,et al.  Proceedings of the 33rd Hawaii International Conference on System Sciences- 2000 Energy-Efficient Communication Protocol for Wireless Microsensor Networks , 2022 .

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

[4]  Cauligi S. Raghavendra,et al.  PEGASIS: Power-efficient gathering in sensor information systems , 2002, Proceedings, IEEE Aerospace Conference.

[5]  Ioannis Chatzigiannakis,et al.  Wireless sensor networks protocols for efficient collision avoidance in multi-path data propagation , 2004, PE-WASUN '04.

[6]  Deborah Estrin,et al.  Directed diffusion: a scalable and robust communication paradigm for sensor networks , 2000, MobiCom '00.

[7]  Min Chen,et al.  Energy-efficient differentiated directed diffusion (EDDD) in wireless sensor networks , 2006, Comput. Commun..

[8]  Yanghee Choi,et al.  SAFE: a data dissemination protocol for periodic updates in sensor networks , 2003, 23rd International Conference on Distributed Computing Systems Workshops, 2003. Proceedings..

[9]  Thomas G. Robertazzi,et al.  Critical connectivity phenomena in multihop radio models , 1989, IEEE Trans. Commun..

[10]  Brad Karp,et al.  GPSR: greedy perimeter stateless routing for wireless networks , 2000, MobiCom '00.

[11]  Polly Huang,et al.  Magnetic diffusion: disseminating mission-critical data for dynamic sensor networks , 2005, MSWiM '05.

[12]  George F. Riley,et al.  The Georgia Tech Network Simulator , 2003, MoMeTools '03.

[13]  Ian W. Marshall,et al.  A Novel Mechanism for Routing in Highly Mobile ad hoc Sensor Networks , 2004, EWSN.

[14]  Hyung Seok Kim,et al.  Minimum-energy asynchronous dissemination to mobile sinks in wireless sensor networks , 2003, SenSys '03.

[15]  Haiyun Luo,et al.  TTDD: Two-Tier Data Dissemination in Large-Scale Wireless Sensor Networks , 2005, Wirel. Networks.

[16]  Luca Maria Gambardella,et al.  Using Ant Agents to Combine Reactive and Proactive Strategies for Routing in Mobile Ad-hoc Networks , 2005, Int. J. Comput. Intell. Appl..

[17]  Thomas F. La Porta,et al.  Dynamic proxy tree-based data dissemination schemes for wireless sensor networks , 2004, 2004 IEEE International Conference on Mobile Ad-hoc and Sensor Systems (IEEE Cat. No.04EX975).

[18]  I. Miloucheva,et al.  Pattern based spatio-temporal Quality of Service analysis for capacity planning , 2003 .