Abstract
The dissemination of context data across a pervasive environment has proven to be a difficult problem. Techniques using gossiping algorithms offer simplicity and flexibility but often result in poor performance with respect to timeliness of delivery and communication cost. In this ongoing-work, we present enhanced gossiping algorithms that aim to improve the efficiency of context data delivery in a decentralised manner using network and data-driven approaches.
Original language | English |
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Title of host publication | Proceedings of the 1st European Conference on Smart Sensing and Context |
Publisher | Springer-Verlag |
Pages | 218-221 |
Number of pages | 4 |
Publication status | Published - 2006 |
Publication series
Name | Lecture Notes in Computer Science |
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Publisher | Springer-Verlag |
Volume | 4272 |