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
The design of an acquisitional query processor for sensor networks
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Data-centric storage in sensornets with GHT, a geographic hash table
Mobile Networks and Applications
Multi-dimensional range queries in sensor networks
Proceedings of the 1st international conference on Embedded networked sensor systems
Matching data dissemination algorithms to application requirements
Proceedings of the 1st international conference on Embedded networked sensor systems
LLS: a locality aware location service for mobile ad hoc networks
Proceedings of the 2004 joint workshop on Foundations of mobile computing
Combs, needles, haystacks: balancing push and pull for discovery in large-scale sensor networks
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
Fundamental scaling laws for energy-efficient storage and querying in wireless sensor networks
Proceedings of the 7th ACM international symposium on Mobile ad hoc networking and computing
Comparative analysis of push-pull query strategies for wireless sensor networks
DCOSS'06 Proceedings of the Second IEEE international conference on Distributed Computing in Sensor Systems
Distance-Sensitive information brokerage in sensor networks
DCOSS'06 Proceedings of the Second IEEE international conference on Distributed Computing in Sensor Systems
| Hi-index | 0.00 |
We propose and study a class of structured and dynamic information push and pull protocols for wireless sensor networks. For structured information dissemination, our study focuses on the impact of various information demand characteristics on dissemination along some type of backbone structures. Our exploration of dynamic information push and pull focuses on finding optimal strategies in a distributed manner without prior knowledge of information demand characteristics and/or with heterogeneous query distributions. Our theoretical analysis uses a simple grid structure, but the protocol is applicable to arbitrary network topologies. A distributed traffic information system is used as the context of study and the simulation study uses a microscopic traffic simulator to demonstrate some of the ideas discussed in the paper.