Artificial Intelligence
Adaptive protocols for information dissemination in wireless sensor networks
MobiCom '99 Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking
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
GPSR: greedy perimeter stateless routing for wireless networks
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
Highly-resilient, energy-efficient multipath routing in wireless sensor networks
MobiHoc '01 Proceedings of the 2nd ACM international symposium on Mobile ad hoc networking & computing
Building efficient wireless sensor networks with low-level naming
SOSP '01 Proceedings of the eighteenth ACM symposium on Operating systems principles
Energy-Efficient Communication Protocol for Wireless Microsensor Networks
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 8 - Volume 8
RAP: A Real-Time Communication Architecture for Large-Scale Wireless Sensor Networks
RTAS '02 Proceedings of the Eighth IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS'02)
SPEED: A Stateless Protocol for Real-Time Communication in Sensor Networks
ICDCS '03 Proceedings of the 23rd International Conference on Distributed Computing Systems
ReInForM: Reliable Information Forwarding Using Multiple Paths in Sensor Networks
LCN '03 Proceedings of the 28th Annual IEEE International Conference on Local Computer Networks
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Dissemination protocols in a large sensor network typically take a data-centric paradigm in which the communication primitives are organized around the sensing data instead of the network nodes. A user expresses his interest in a given data type by specifying a query message, which then propagates through the network. When detecting a nearby stimulus that matches the query type, sensors generate data reports which traverse the network to reach the interested user. The large scale of a sensor network, the resource constraints of each node in terms of energy, computation and memory, and potentially frequent node failures all present formidable challenges to reliable data dissemination. The protocols must be energy efficient, robust against failures and channel dynamics, and be able to scale to large networks. In this chapter, we provide a brief overview and critique of the state-of-art dissemination protocols and discuss future research directions.