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WSNA '02 Proceedings of the 1st ACM international workshop on Wireless sensor networks and applications
Directed diffusion for wireless sensor networking
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Time-diffusion synchronization protocol for wireless sensor networks
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Sdlib: a sensor network data and communications library for rapid and robust application development
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CSE '08 Proceedings of the 2008 11th IEEE International Conference on Computational Science and Engineering
Wireless sensor network survey
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Senceive: A Middleware for a Wireless Sensor Network
AINA '08 Proceedings of the 22nd International Conference on Advanced Information Networking and Applications
Recognition of Complex Settings by Aggregating Atomic Scenes
IEEE Intelligent Systems
Resource aware programming in the Pixie OS
Proceedings of the 6th ACM conference on Embedded network sensor systems
Analysis of collision probability in unsaturated situation
Proceedings of the 2010 ACM Symposium on Applied Computing
Computer Networks: The International Journal of Computer and Telecommunications Networking
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The conception and development of pervasive systems, i.e, the systems which will be used in pervasive computing environments, involve interdisciplinary team work. Apparently, the team consists of people with a diverse research background and expertise. While such a composition is an essential prerequisite to solve real world problems, it brings with it also challenges that should be dealt with. To begin with, team members should establish a shared understanding of what should be done. This understanding includes the terminologies that are used as well as the expected project goals. Secondly, there has to be a division of task and a clear plan as to how different components or building blocks should come together to make up a unified, consistent, side-effect free and wholesome system. In this paper we discuss the development of the Senceive System within a graduate project course work. The project work involves students from computer science, computer engineering and electrical engineering. Technically, the Senceive System offers a step-wise abstraction of low-level concerns (sensing) from higher-level use of meaningful features.