Topology control meets SINR: the scheduling complexity of arbitrary topologies
Proceedings of the 7th ACM international symposium on Mobile ad hoc networking and computing
The worst-case capacity of wireless sensor networks
Proceedings of the 6th international conference on Information processing in sensor networks
Proceedings of the 8th ACM international symposium on Mobile ad hoc networking and computing
Minimum-latency aggregation scheduling in multihop wireless networks
Proceedings of the tenth ACM international symposium on Mobile ad hoc networking and computing
Improved Algorithms for Latency Minimization in Wireless Networks
ICALP '09 Proceedings of the 36th Internatilonal Collogquium on Automata, Languages and Programming: Part II
Wireless Communication Is in APX
ICALP '09 Proceedings of the 36th International Colloquium on Automata, Languages and Programming: Part I
Minimum-latency aggregation scheduling in wireless sensor networks under physical interference model
Proceedings of the 13th ACM international conference on Modeling, analysis, and simulation of wireless and mobile systems
Maximizing capacity with power control under physical interference model in simplex mode
WASA'11 Proceedings of the 6th international conference on Wireless algorithms, systems, and applications
Minimum latency data aggregation in the physical interference model
Proceedings of the 14th ACM international conference on Modeling, analysis and simulation of wireless and mobile systems
Wireless connectivity and capacity
Proceedings of the twenty-third annual ACM-SIAM symposium on Discrete Algorithms
Minimum data aggregation time problem in wireless sensor networks
MSN'05 Proceedings of the First international conference on Mobile Ad-hoc and Sensor Networks
Proceedings of the twenty-second annual ACM-SIAM symposium on Discrete Algorithms
The capacity of wireless networks
IEEE Transactions on Information Theory
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Almost all the existing wireless data aggregation approaches need a topology construction step before scheduling. These solutions assume the availability of flexible topology controls. However, in real scenarios, lots of factors (impenetrable obstacles, barriers, etc.) limit the topology construction for wireless networks. In this paper we study a new problem called Minimum-Latency Aggregation Scheduling for Arbitrary Tree Topologies (MLAT). We first provide an NP-hardness proof for MLAT. Second, we draw an important conclusion that two frequently used greedy scheduling algorithms result in a large overhead compared with the optimal solution: the scheduling latency generated by these two greedy solutions are $\sqrt{n}$ times the optimal result, where n is the total number of links. We finally present an approximation algorithm for MLAT which works well for the tree with a small depth. All the above results are based on the SINR (Signal-to-Interference-plus-Noise Ratio) model.