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A framework for spatio-temporal query processing over wireless sensor networks.
| Content Provider | CiteSeerX |
|---|---|
| Abstract | Wireless sensor networks consist of nodes with the ability to measure, store, and process data, as well as to communicate wirelessly with nodes located in their wireless range. Users can issue queries over the network, e.g., retrieve information from nodes within a specified region, in applications such as environmental monitoring. Since the sen-sors have typically only a limited power supply, energy-efficient processing of the queries over the network is an important issue. In this paper, we introduce a general framework for distributed pro-cessing of spatio-temporal queries in a sensor net-work that has two main phases: (1) routing the query to the spatial area specified in the query; (2) collecting and processing the information from the nodes relevant to the query. Within this framework, different algorithms can be designed independently for each of the two phases. We also propose novel algorithms for this framework, one for the first phase and two for the second phase. In an extensive experimental evaluation we study the performance of these algorithms in terms of en-ergy consumption, under varying conditions. The results allow us to recommend the most energy efficient solution, given a network and a spatio-temporal query. 1 |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Spatio-temporal Query Sensor Net-work General Framework Extensive Experimental Evaluation Energy Efficient Solution Wireless Sensor Network First Phase Process Data Important Issue Limited Power Supply Energy-efficient Processing Wireless Range Environmental Monitoring Different Algorithm Specified Region Main Phase Spatial Area Distributed Pro-cessing En-ergy Consumption Novel Algorithm Second Phase |
| Content Type | Text |
