DySSCo - A Protocol for Dynamic Self-Organizing Service Coverage

Service oriented middleware draws a lot of attention in current research on sensor networks. The automatic distribution of services within a network and the preservation of this distribution is a fundamental aspect of network applications with self-x properties. The network gains the ability to react on mobility, network fragmentation, node failures and new user demands. This paper proposes a distributed self-organizing algorithm for service distribution and preservation of this distribution using demanded coverages for the services. After discussing the theory of the convergence of the algorithm, this paper presents a real-world deployment of a sensor network scenario and evaluates the performance of the algorithm.

[1]  Dirk Timmermann,et al.  Wireless sensor networks - new challenges in software engineering , 2003, EFTA 2003. 2003 IEEE Conference on Emerging Technologies and Factory Automation. Proceedings (Cat. No.03TH8696).

[2]  Jochen H. Schiller,et al.  A Survey of Current Directions in Service Placement in Mobile Ad-hoc Networks , 2008, 2008 Sixth Annual IEEE International Conference on Pervasive Computing and Communications (PerCom).

[3]  Mani B. Srivastava,et al.  Design and implementation of a framework for efficient and programmable sensor networks , 2003, MobiSys '03.

[4]  Carsten Griwodz,et al.  Dynamic Group Membership Management for Distributed Interactive Applications , 2007 .

[5]  Paul J. M. Havinga,et al.  Prototyping Service Discovery and Usage in Wireless Sensor Networks , 2007, 32nd IEEE Conference on Local Computer Networks (LCN 2007).

[6]  Sandeep Neema,et al.  OASiS: A Programming Framework for Service-Oriented Sensor Networks , 2007, 2007 2nd International Conference on Communication Systems Software and Middleware.

[7]  Dennis Pfisterer,et al.  Practical experiences on mobile inter-body-area-networking , 2007, BODYNETS.

[8]  Jörg Hähner,et al.  TinyCubus: a flexible and adaptive framework sensor networks , 2005, Proceeedings of the Second European Workshop on Wireless Sensor Networks, 2005..

[9]  Philip Levis,et al.  Maté: a tiny virtual machine for sensor networks , 2002, ASPLOS X.

[10]  Chenyang Lu,et al.  Rapid Development and Flexible Deployment of Adaptive Wireless Sensor Network Applications , 2005, 25th IEEE International Conference on Distributed Computing Systems (ICDCS'05).