LEDA: a platform for combinatorial and geometric computing
LEDA: a platform for combinatorial and geometric computing
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
Approximating layout problems on random geometric graphs
Journal of Algorithms
Smart dust protocols for local detection and propagation
Proceedings of the second ACM international workshop on Principles of mobile computing
Wireless sensor networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
Energy-Efficient Communication Protocol for Wireless Microsensor Networks
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 8 - Volume 8
A Random Graph Model for Optical Networks of Sensors
IEEE Transactions on Mobile Computing
On Random Intersection Graphs: The Subgraph Problem
Combinatorics, Probability and Computing
Energy balanced data propagation in wireless sensor networks
Wireless Networks
Large independent sets in general random intersection graphs
Theoretical Computer Science
Algorithmic problems in ad hoc networks
DCOSS'05 Proceedings of the First IEEE international conference on Distributed Computing in Sensor Systems
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The efficient and robust realization of wireless sensor networks is a challenging technological and algorithmic task, because of the unique characteristics and severe limitations of these devices. This talk presents representative algorithms for important problems in wireless sensor networks, such as data propagation and energy balance. The protocol design uses key algorithmic techniques like randomization and local optimization. Crucial performance properties of the protocols (correctness, fault-tolerance, scalability) and their trade-offs are investigated through both analytic means and large scale simulation. The experimental evaluation of algorithms for such networks is very beneficial, not only towards validating and fine-tuning algorithmic design and analysis, but also because of the ability to study the accurate impact of several important network parameters and technological details.