The Cougar Project: a work-in-progress report
ACM SIGMOD Record
Wireless Sensor Networks: An Information Processing Approach
Wireless Sensor Networks: An Information Processing Approach
Effect of overhearing transmissions on energy efficiency in dense sensor networks
Proceedings of the 3rd international symposium on Information processing in sensor networks
A framework for spatio-temporal query processing over wireless sensor networks
DMSN '04 Proceeedings of the 1st international workshop on Data management for sensor networks: in conjunction with VLDB 2004
TinyDB: an acquisitional query processing system for sensor networks
ACM Transactions on Database Systems (TODS) - Special Issue: SIGMOD/PODS 2003
Spatial queries in sensor networks
Proceedings of the 13th annual ACM international workshop on Geographic information systems
Demonstration of Sahana: free and open source disaster management
dg.o '07 Proceedings of the 8th annual international conference on Digital government research: bridging disciplines & domains
Energy Efficient Spatial Query Processing in Wireless Sensor Networks
AINAW '07 Proceedings of the 21st International Conference on Advanced Information Networking and Applications Workshops - Volume 02
Emergency Response Applications: Dynamic Plume Modeling and Real-Time Routing
IEEE Internet Computing
SFC: a simple flow control protocol for enabling reliable embedded network systems reprogramming
Proceedings of the 50th Annual Southeast Regional Conference
Duty cycle aware spatial query processing in wireless sensor networks
Computer Communications
Spatial query processing in wireless sensor networks - A survey
Information Fusion
An efficient code update solution for wireless sensor network reprogramming
Proceedings of the Eleventh ACM International Conference on Embedded Software
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Recently, the world has witnessed the increasing occurrence of disasters, some of natural origin and others caused by man. Intensity of the phenomenas that cause such disasters, the frequency in which they occur, the number of people affected and the material damage caused have been growing. Areas where disasters have occurred offer many dangers to rescue teams and usually the network infrastructure is destroyed. For these reasons, it is important to create a structure to sense environmental data to detect hazards. This structure needs to be independent, easily deployed and adapted to different situations. This paper presents a mechanism for processing spatial queries on WSN to detect dangers in disasters situations. In other works in literature, they only process spatial queries with rectangular regions. Furtheremore, in this work these regions have irregular contours that needs a lot of points to be represented. Therefore the query needs to be created in more than one packet to send all these points. It also proposes a preprocessing stage to reduce the number of packages to transmit one query. Consequently, in the scenarios analysed, the energy consumption of the WSN decreased by about 40%, with an inaccuracy about 13% in information collected, compared to the processing of query that has a spatial query representation in original form.