Abstract
Wireless sensor networks have a wide variety of applications in many areas from detecting enemy targets in the military to monitoring patient health or water/gas usage in the civil. However, sensor devices are usually equipped with a limited power battery and deployed at a very high density in inaccessible environments. Therefore, it is impractical to change or maintain manually these sensor networks. In this paper, we have designed and implemented a general and extendable management framework called DIstributed Self-Organizing NEtwork management (DISON) framework to provide an autonomous management mechanism for WSNs. In DISON, sensor nodes exploit local knowledge or cooperate with other nodes to coordinate and adapt management and application tasks effectively according to their capabilities. To verify the efficiency of the proposed framework, we have evaluated DISON in a data collection application scenario, where DISON is used to optimize the number of active nodes. The simulation results show that running DISON reduces the energy consumption up to 30%, and also improves other key parameters such as the packet delivery rate and the end-to-end delay.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Biron, P.V., Malhotra, A.: XML Schema Part 2: Datatypes. W3C Recommendation. W3C, 2nd edn (October 2004)
Cha, S.-H., Lee, J.-E., Jo, M., Youn, H.Y., Kang, S., Cho, K.-H.: Policy-based management for self-managing wireless sensor networks. IEICE Transactions, 3024–3033 (2007)
Chen, G., Branch, J., Pflug, M., Zhu, L., Szymanski, B.: SENSE: A Sensor Network Simulator. In: Advances in Pervasive Computing and Networking, pp. 249–267 (2004)
Chen, Y.P., Liestman, A.L., Liu, J.: Clustering Algorithms for Ad Hoc Wireless Networks. In: Ad Hoc and Sensor Networks. Nova Science Publishers (2004)
Le, T.D., Hu, W., Jha, S., Corke, P.: Design and implementation of a policy-based management system for data reliability in wireless sensor networks. In: 33rd IEEE Conference on Local Computer Networks, LCN 2008, pp. 762–769 (October 2008)
Lee, W.L., Datta, A., Oliver, R.C.: WinMS: Wireless Sensor Network-Management System, An Adaptive Policy-Based Management for Wireless Sensor Networks. Technical report, School of Computer Science & Software Engineering, The University of Western Australia (2006)
Wenbo, Z., Haifeng, X.: A Policy Based Wireless Sensor Network Management Architecture. In: 2010 3rd International Conference on Intelligent Networks and Intelligent Systems, ICINIS, pp. 552–555 (November 2010)
Younis, M., Youssef, M., Arisha, K.: Energy-aware management for cluster-based sensor networks. Computer Networks, 649–668 (2003)
Younis, O., Fahmy, S.: HEED: A Hybrid, Energy-Efficient, Distributed Clustering Approach for Ad Hoc Sensor Networks. IEEE Transactions on Mobile Computing 3(4), 366–379 (2004)
Zhang, H., Hou, J.: Maintaining Sensing Coverage and Connectivity in Large Sensor Networks. Ad Hoc & Sensor Wireless Networks 1(1-2) (2005)
Zhu, Y., Keoh, S.L., Sloman, M., Lupu, E.C.: A Lightweight Policy System for Body Sensor Networks. IEEE Transactions on Network and Service Management 6(3), 137–148 (2009)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Cao Minh, T., Bellalta, B., Oliver, M. (2013). DISON: A Self-organizing Network Management Framework for Wireless Sensor Networks. In: Zheng, J., Mitton, N., Li, J., Lorenz, P. (eds) Ad Hoc Networks. ADHOCNETS 2012. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 111. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36958-2_11
Download citation
DOI: https://doi.org/10.1007/978-3-642-36958-2_11
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-36957-5
Online ISBN: 978-3-642-36958-2
eBook Packages: Computer ScienceComputer Science (R0)