Methodologies for efficient software management in wireless sensor networks (WSN) need to be investigated for operating and maintaining large-scale sensor networks. Until now, some network-based approaches have been described that are limited in terms of scalability, i.e. dependency on reliable end-to-end communication, and security. In this paper, we describe a distributed software management architecture using profiling techniques. We exploit the advantages of robot-based reconfiguration and re-programming methods for efficient and secure software management. The developed methods are depicted in detail. Additionally, demonstrate their applicability and advantages.

The heterogeneity and dynamics in terms of hardware and software configurations is steadily increasing in sensor networks. Therefore, software management is becoming one of the most prominent challenges in this domain. We developed a profilebased software management scheme that consists of a dynamic profile-matching algorithm to identify current SW/HW configurations, an on-demand code generation module, and mechanisms for dynamic network-centric reprogramming of sensor nodes. In this demo, we will dynamic node reprogramming based on given objectives (global goals), available sensor nodes, and RPC-style profile matching algorithms. A mobile robot system is employed for decision processes and to store the source code repository. Additionally, techniques for dynamic addressing are included to prevent global pre-configuration of all network nodes.

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The importance of mobile services in our everyday life is growing while at the same time new interoperability issues arise due to hardware and software heterogeneity. Therefore, new architectural paradigms and models are needed to enhance software engineering methodologies with regard to platform independence and interoperability. This paper describes an UML pattern based approach for developing reconfigurable autonomous mobile services. Through the analysis of an mcommerce project, the relevance of our proposed architecture will be explained. Our focus lays on a generic reconfiguration mechanism based on profile matching from software modules. This profiling part will be further described and discussed. Finally, the applicability of our approach is investigated within a project about reconfigurable indoor navigation computers and a project about robot assisted sensor networks.