Abstract
Presented case study is based on application of the previously de-signed volunteer peer-to-peer MapReduce computing platform to assist evacuation of people who are disoriented in a forest that is affected by wildfire. Problem solution requires extensive use of features which are built into mobile devices in such a way, that computing not only be- come execution device, but also interface and data collector sensors. Nonetheless, despite being advanced to such a level every device in the infrastructure resumes its voluntarily mapper or reducer node features.
Original language | English |
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Pages (from-to) | 1579-1588 |
Number of pages | 10 |
Journal | Contemporary Engineering Sciences |
Volume | 7 |
Issue number | 25-28 |
DOIs | |
Publication status | Published - 2014 |
Keywords
- Clustering
- Multi-agent systems
- Search and rescue operations
ASJC Scopus subject areas
- Materials Science(all)
- Social Sciences (miscellaneous)
- Engineering(all)
- Fluid Flow and Transfer Processes
- Computer Networks and Communications
- Health, Toxicology and Mutagenesis