| Title |
Game Theoretic and Auction-based Algorithms towards Opportunistic Communications in LPWA LoRa Networks |
| ID_Doc |
40103 |
| Authors |
Haghighi, M; Qin, ZJ; Carboni, D; Adeel, U; Shi, FR; McCann, JA |
| Title |
Game Theoretic and Auction-based Algorithms towards Opportunistic Communications in LPWA LoRa Networks |
| Year |
2016 |
| Published |
|
| DOI |
|
| Abstract |
Low Power Wide Area (LPWA) networks have been the enabling technology for large-scale sensor and actuator networks. Low cost, energy-efficiency and longevity of such networks make them perfect candidates for smart city applications. LoRa is a new LPWA standard based on spread spectrum technology, which is suitable for sensor nodes enabling long battery life and bi-directional communication but with low data rates. In this paper, we will demonstrate a use-case inspired model in which, end-nodes with multiple radio transceivers (LoRa/WiFi/BLE) have the option to interconnect via multiple networks to improve communications resilience under the diverse conditions of a smart city of a billion devices. To facilitate this, each node has the ability to switch radio communications opportunistically and adaptively, and this is based on the application requirements and dynamic radio parameters. |
| Author Keywords |
Game theory; IoT; WSN; LPWA; LoRa; Edge; Smart City; Auction; Utility |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000399698600126 |
| WoS Category |
Computer Science, Artificial Intelligence; Computer Science, Interdisciplinary Applications |
| Research Area |
Computer Science |
| PDF |
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