Habitat monitoring with sensor networks
Communications of the ACM - Wireless sensor networks
Computer
Research issues in data stream association rule mining
ACM SIGMOD Record
Deploying a Wireless Sensor Network on an Active Volcano
IEEE Internet Computing
Continuous Trend-Based Clustering in Data Streams
DaWaK '08 Proceedings of the 10th international conference on Data Warehousing and Knowledge Discovery
WAINA '09 Proceedings of the 2009 International Conference on Advanced Information Networking and Applications Workshops
Phoenix: an epidemic approach to time reconstruction
EWSN'10 Proceedings of the 7th European conference on Wireless Sensor Networks
Primate-Inspired Communication Methods for Mobile and Static Sensors and RFID Tags
ACM Transactions on Autonomous and Adaptive Systems (TAAS)
Mobile Networks and Applications
EasiSec: a SoC security coprocessor based on fingerprint-based key management for WSN
International Journal of Sensor Networks
Selective secure error correction on SPIHT coefficients for pervasive wireless visual network
International Journal of Ad Hoc and Ubiquitous Computing
Human sensing for smart cities
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
A 3D imaging technique for circular radar sensor networks based on radon transform
International Journal of Sensor Networks
Toward green sensor field by optimizing power efficiency using D-policy M/G/1 queuing systems
Mobile Information Systems
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A sensor-based community network for environmental data gathering and predictive analysis has been developed. A mesh network of wireless sensors reports data to a central site for environmental monitoring and risk identification. Data analysis and visual presentation is provided in a geographical and temporal context. This network is considered green due to decreased energy usage by the overall network as well as its actual application, which permits environmental information to be contextually presented and communicated with concerned urban community as well as decision makers. Periodic data reporting from the sensor network, in contrast with the usual timestamp synchronisation, reduces the amount of communication required between network nodes, resulting in an overall energy saving, while not compromising the nature of the data gathered. The sensor network applications provide an outstanding representation of green networking as sparse but sufficient environmental monitoring, accompanied by real-time data analysis, and historical pattern identification permits risk identification in support of public safety and protection.