Multiple communication im multihop radio networks
SIAM Journal on Computing
Journal of Computer and System Sciences
Wireless information networks
Analysis of Backoff Protocols for Mulitiple AccessChannels
SIAM Journal on Computing
Speed is as powerful as clairvoyance
Journal of the ACM (JACM)
Journal of the ACM (JACM)
Universal-stability results and performance bounds for greedy contention-resolution protocols
Journal of the ACM (JACM)
Wireless sensor networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
Proceedings of the 9th annual international conference on Mobile computing and networking
End-to-end packet-scheduling in wireless ad-hoc networks
SODA '04 Proceedings of the fifteenth annual ACM-SIAM symposium on Discrete algorithms
Multi-processor scheduling to minimize flow time with ε resource augmentation
STOC '04 Proceedings of the thirty-sixth annual ACM symposium on Theory of computing
Versatile low power media access for wireless sensor networks
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
Ad Hoc Networking
Algorithmic models for sensor networks
IPDPS'06 Proceedings of the 20th international conference on Parallel and distributed processing
An approximation algorithm for the wireless gathering problem
SWAT'06 Proceedings of the 10th Scandinavian conference on Algorithm Theory
Lower bounds on data collection time in sensory networks
IEEE Journal on Selected Areas in Communications
Hi-index | 0.00 |
We address the problem of data gathering in a wireless network using multihop communication; our main goal is the analysis of simple algorithms suitable for implementation in realistic scenarios. We study the performance of distributed algorithms, which do not use any form of local coordination, and we focus on the objective of minimizing average flow times of data packets. We prove a lower bound of 驴(logm) on the competitive ratio of any distributed algorithm minimizing the maximum flow time, where mis the number of packets. Next, we consider a distributed algorithm which sends packets over shortest paths, and we use resource augmentation to analyze its performance when the objective is to minimize the average flow time. If interferences are modeled as in Bar-Yehuda et al. (J. of Computer and Systems Science, 1992) we prove that the algorithm is (1 + 驴)-competitive, when the algorithm sends packets a factor O(log(驴/驴) logΔ) faster than the optimal offline solution; here 驴is the diameter of the network and Δthe maximum degree. We finally extend this result to a more complex interference model.