Directed diffusion: a scalable and robust communication paradigm for sensor networks
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
A two-tier data dissemination model for large-scale wireless sensor networks
Proceedings of the 8th annual international conference on Mobile computing and networking
The many faces of publish/subscribe
ACM Computing Surveys (CSUR)
Minimum-energy asynchronous dissemination to mobile sinks in wireless sensor networks
Proceedings of the 1st international conference on Embedded networked sensor systems
An Energy-Efficient Data-Dissemination Protocol inWireless Sensor Networks
WOWMOM '06 Proceedings of the 2006 International Symposium on on World of Wireless, Mobile and Multimedia Networks
Telos: enabling ultra-low power wireless research
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
GMP: Distributed Geographic Multicast Routing in Wireless Sensor Networks
ICDCS '06 Proceedings of the 26th IEEE International Conference on Distributed Computing Systems
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In large scale internet network, the research in area of event detection and report publish/subscribe communications paradigm is being progressed. Data-centric is the basic characteristic of data transmission mode of the publish/subscribe communications paradigm. Such characteristic coincides with the wireless sensor network. The publish/subscribe communications paradigm performs task in manner of space, time and synchronous decoupling. The publish/subscribe communications paradigm with such property is tend to be applied to the wireless sensor network. However, existing algorithms do not satisfy the three decoupling modes in wireless sensor network. Therefore, this paper applies the publish/subscribe communications paradigm to the wireless sensor network and proposes a model to solve the energy consumption problem. The proposed communication model satisfies the three decoupling modes by using Embedded Grid Structure (EGS) in the wireless sensor network. Simulation results show that proposed model is energy-efficient compared with other protocols.