| Title |
An algorithm for sink positioning in bus-assisted smart city sensing |
| ID_Doc |
38606 |
| Authors |
Cruz, P; Couto, RS; Costa, LHMK |
| Title |
An algorithm for sink positioning in bus-assisted smart city sensing |
| Year |
2019 |
| Published |
|
| DOI |
10.1016/j.future.2017.09.018 |
| Abstract |
Smart Cities use data obtained from different sensors to offer better services. Such data is usually sent to sinks, using the paradigm of Internet of Things. However, covering the whole city area with static sensors might be expensive. This paper addresses the utilization of the public transportation system as a mobility platform for sensor nodes and bus stops acting as sinks. This platform can improve the coverage of a sensor network and take advantage of opportunistic communication. Since this platform can be used for delay-constrained applications, we propose an algorithm to choose sensor sinks in the bus stops of a smart city that minimizes the maximum delay when delivering messages. We compare our solution with an optimal formulation and use real data, obtained in buses from Rio de Janeiro, as an input of our algorithm. Our experiments show that we can use approximately 16% of bus stops as sinks, having less than 10% of increase in the network maximum delay and no significant loss in the spatial coverage. (C) 2017 Elsevier B.V. All rights reserved. |
| Author Keywords |
Internet of Things; Wireless sensor networks; Smart Cities; Resource positioning |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:000459365800059 |
| WoS Category |
Computer Science, Theory & Methods |
| Research Area |
Computer Science |
| PDF |
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