| Title | From competitive sensor redundancy to competitive service redundancy in a Smart City context |
|---|---|
| ID_Doc | 39091 |
| Authors | Jabeur, N; Moh, ANS; Yasar, AUH; Barkia, MM |
| Title | From competitive sensor redundancy to competitive service redundancy in a Smart City context |
| Year | 2017 |
| Published | Personal And Ubiquitous Computing, 21, 6 |
| Abstract | In this paper, we address the recurring problem of node redundancy in Wireless Sensor Networks (WSNs). In addition to categorizing redundancy into different types, comprehensively formulating and representing redundancy as a dynamic matter as well as estimating it with a new analytical method, we propose an approach where sensors are competing for the identification and relocation of redundant sensors. In our approach, sensors with low redundancy weights force neighboring peers with high redundancy weights to relocate or go to sleep according to a bully strategy. To increase their chances of winning their individual competitions (also called micro competition), redundant sensors are allowed to use the support of close peers belonging to the same cluster, leading thereby to a macro competition. We extend our solutions to the scenario of charging electrical vehicles in a Smart City context. We, indeed, found that the charging stations, with their varying capabilities and schedules, are competing to provide redundant charging services to the moving electrical vehicles in a scenario very similar to sensor redundancy. Our aim is then to identify the extent of service redundancy to ultimately provide the right charging service, at the right location, at the right time, to the right electrical vehicle. We, therefore, mainly focus on proposing a mathematical formal model reflecting the competition of charging stations to support the requests of electrical vehicles. Our ongoing simulations with the ns3 tool are showing promising results. |
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