Journal of Applied Science and Engineering

Published by Tamkang University Press

1.30

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1.60

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Ying-Hong Wang1, Chen-An Wang This email address is being protected from spambots. You need JavaScript enabled to view it.1, Chin-Yung Yu1 and Ping-Fang Fu1

1Department of Computer Science & Information Engineering, Tamkang University, Tamsui, Taiwan 251, R.O.C.


 

Received: March 7, 2008
Accepted: March 11, 2009
Publication Date: June 1, 2009

Download Citation: ||https://doi.org/10.6180/jase.2009.12.2.11  


ABSTRACT


Wireless Sensor Networks (WSNs) are event-based systems that rely on the collective effort of several micro-sensor nodes. Reliable event detection at the sink is based on collective information provided by source nodes. When data needs to be gathered from a selected set of nodes and transmit to sink in the network. However the sensor nodes often face the critical challenge among all is the constraint on limited battery energy. Therefore, how to minimize the energy consumption while maintaining an extended network lifetime becomes the most critical issue in the WSNs. We present a routing protocol in cluster-based WSNs called the Register mechanism Routing Protocol (RRP). The RRP protocol is attempted to resolve the above issue. The performance of RRP is then compared to routing protocol such as HCDD (Hierarchical Cluster-based Data Dissemination in WSNs) and TTDD (Two-tier Data Dissemination Model for Large scale WSNs). The simulation results demonstrate that RRP may reach energy savings up to 21%~50%.


Keywords: Wireless Sensor Networks, Energy-Efficiency, Cluster-Based Routing, Mobile Sink


REFERENCES


  1. [1] Toumpis, S. and Tassiulas, L., “Optimal Deployment of Large WSNs,” Information Theory, IEEE Transactions, Vol. 52, pp. 29352953 (2006).
  2. [2] Giordano, V., Ballal, P., Lewis, F., Turchiano, B. and Zhang, J. B., “Supervisory Control of Mobile Sensor Networks: Math Formulation, Simulation, and Implementation,” Systems, Man and Cybernetics, Part B, IEEE Transactions, Vol. 36, pp. 806819 (2006).
  3. [3] Karl, H. and Willig, A., “Protocols and Architectures for Wireless Sensor Network,” John Wiley & Sons Ltd., January (2006).
  4. [4] Lin, C.-J., Chou, P.-L. and Chou, C.-F., “HCDD Hierarchical Cluster Based Data Dissemination in WSNs with Mobile Sink,” International Wireless Communications and Mobile Computing Conference, pp. 1189 1194 (2006).
  5. [5] Ye, F., Luo, H., Cheng, J., Lu, S. and Zhang, L., “A Two-Tier Data Dissemination Model for Large-Scale WSNs,” Proceedings of the 8th ACM Annual International Conference on Mobile Computing and Networking, pp. 148159 (2002).
  6. [6] Hyytiä, E. and Virtamo, J., “Random Waypoint Model in n-Dimensional Space”, Operations Research Letters, Vol. 33, pp. 567571 (2005).
  7. [7] Bettstetter, C., Hartenstein, H. and Pérez-Costa, X., “Stochastic Properties of the Random Way Point Mobility Model,” ACM/Kluwer Wireless Networks: Special Issue on Modeling and Analy sis of Mobile Networks, Vol. 10, pp. 493619 (2004).
  8. [8] Global Mobile Information Systems Simulation Library, http://pcl.cs.ucla.edu/projects/glomosim/.


    



 

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