Design patterns: elements of reusable object-oriented software
Design patterns: elements of reusable object-oriented software
An analysis of a large scale habitat monitoring application
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
TinyDB: an acquisitional query processing system for sensor networks
ACM Transactions on Database Systems (TODS) - Special Issue: SIGMOD/PODS 2003
Communications of the ACM - Designing for the mobile device
Proceedings of the 3rd international conference on Embedded networked sensor systems
Bigtable: a distributed storage system for structured data
OSDI '06 Proceedings of the 7th USENIX Symposium on Operating Systems Design and Implementation - Volume 7
ORGs for Scalable, Robust, Privacy-Friendly Client Cloud Computing
IEEE Internet Computing
BeTelGeuse: a tool for Bluetooth data gathering
Proceedings of the ICST 2nd international conference on Body area networks
BeTelGeuse: A Platform for Gathering and Processing Situational Data
IEEE Pervasive Computing
DexterNet: An Open Platform for Heterogeneous Body Sensor Networks and its Applications
BSN '09 Proceedings of the 2009 Sixth International Workshop on Wearable and Implantable Body Sensor Networks
Modeling Distributed Signal Processing Applications
BSN '09 Proceedings of the 2009 Sixth International Workshop on Wearable and Implantable Body Sensor Networks
Using Google App Engine
Communications of the ACM
Proceedings of the International Conference on Management of Emergent Digital EcoSystems
Editorial: Integration of Cloud computing and body sensor networks
Future Generation Computer Systems
BodyCloud: A SaaS approach for community Body Sensor Networks
Future Generation Computer Systems
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Just recently emerged a new paradigm for internet-based software systems which is called as cloud computing. The cloud provides scalable processing power and several kinds of connectable services. This distributed architecture has many similarities with a typical wireless sensor network, where a lot of motes, which are responsible for sensing and local preprocessing, are interconnected with wireless connections. Since wireless sensor networks are limited in their processing power, battery life and communication speed, cloud computing usually offers the opposite, which makes it attractive for long term observations, analysis and use in different kinds of environments and projects, since the basic infrastructure remains the same. In this paper we present a model, which combines the concept of wireless sensor networks with the cloud computing paradigm, and show how both can benefit from this combination.