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| Content Provider | Springer Nature Link |
|---|---|
| Author | Testa, Alessandro Cinque, Marcello Coronato, Antonio Pietro, Giuseppe Augusto, Juan Carlos |
| Copyright Year | 2014 |
| Abstract | Wireless sensor networks (WSNs) are increasingly being adopted in critical applications. In these networks undesired events may undermine the reliability level; thus their effects need to be properly assessed from the early stages of the development process onwards to minimize the chances of unexpected problems during use. In this paper we propose two heuristic strategies: what-if analysis and robustness checking. They allow to drive designers towards optimal WSN deployment solutions, from the point of view of the connection and data delivery resiliency, exploiting a formal approach based on the event calculus formal language. The heuristics are backed up by a support tool aimed to simplify their adoption by system designers. The tool allows to specify the target WSN in a user-friendly way and it is able to elaborate the two heuristic strategies by means of the event calculus specifications automatically generated. The WSN reliability is assessed computing a set of specific metrics. The effectiveness of the strategies is shown in the context of three case studies. |
| Starting Page | 145 |
| Ending Page | 175 |
| Page Count | 31 |
| File Format | |
| ISSN | 13811231 |
| Journal | Journal of Heuristics |
| Volume Number | 21 |
| Issue Number | 2 |
| e-ISSN | 15729397 |
| Language | English |
| Publisher | Springer US |
| Publisher Date | 2014-08-14 |
| Publisher Place | Boston |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Wireless sensor networks Heuristic Resiliency Formal language Robustness checking Operations Research, Management Science Operations Research/Decision Theory Artificial Intelligence (incl. Robotics) Calculus of Variations and Optimal Control; Optimization |
| Content Type | Text |
| Resource Type | Article |
| Subject | Control and Optimization Artificial Intelligence Management Science and Operations Research Computer Networks and Communications Information Systems Software |
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