Processing continuous join queries in sensor networks: a filtering approach
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
Power efficiency through tuple ranking in wireless sensor network monitoring
Distributed and Parallel Databases
Cost based in-network join strategy in tree routing sensor networks
Information Sciences: an International Journal
Top-k query evaluation in sensor networks with the guaranteed accuracy of query results
DEXA'11 Proceedings of the 22nd international conference on Database and expert systems applications - Volume Part I
TWINS: Efficient time-windowed in-network joins for sensor networks
Information Sciences: an International Journal
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Join processing in wireless sensor networks is difficult: As the tuples can be arbitrarily distributed within the network, matching pairs of tuples is communication intensive and costly in terms of energy. Current solutions only work well with specific placements of the nodes and/or make restrictive assumptions. In this paper, we present SENS-Join, an efficient general-purpose join method for sensor networks. To obtain efficiency, SENS-Join does not ship tuples that do not join, based on a filtering step. Our main contribution is the design of this filtering step which is highly efficient in order not to exhaust the potential savings. We demonstrate the performance of SENS-Join experimentally: The overall energy consumption can be reduced by more than 80%, as compared to the state-of-the-art approach. The per node energy consumption of the most loaded nodes can be reduced by more than an order of magnitude.