Directed diffusion for wireless sensor networking
IEEE/ACM Transactions on Networking (TON)
The many faces of publish/subscribe
ACM Computing Surveys (CSUR)
EnviroTrack: Towards an Environmental Computing Paradigm for Distributed Sensor Networks
ICDCS '04 Proceedings of the 24th International Conference on Distributed Computing Systems (ICDCS'04)
The VLDB Journal — The International Journal on Very Large Data Bases
Beyond event handlers: programming wireless sensors with attributed state machines
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
State-Centric Programming for Sensor-Actuator Network Systems
IEEE Pervasive Computing
Event detection services using data service middleware in distributed sensor networks
IPSN'03 Proceedings of the 2nd international conference on Information processing in sensor networks
Composite event detection as a generic middleware extension
IEEE Network: The Magazine of Global Internetworking
| Hi-index | 0.01 |
With the increased realisation of the benefits of studying environmental data, sensor networks are rapidly scaling in size, heterogeneity of data, and applications. In this paper, we present a State-based Publish/Subscribe (SPS) framework for sensor systems with many distributed and independent application clients. SPS provides a state-based information deduction model that is suited to many classes of sensor network applications. State Maintenance Components (SMCs) are introduced that are simple in operation, flexible in placement, and decomposable for distributed processing. Publish/Subscribe communication forms the core messaging component of the framework. SPS uses the decoupling feature of Pub/Sub and extends this across the SMCs to support a more flexible and dynamic system structure. Our evaluation, using real sensor data, shows that SPS is expressive in capturing conditions, and scalable in performance.