| Title |
An Auction based Edge Resource Allocation Mechanism for IoT-enabled Smart Cities |
| ID_Doc |
39467 |
| Authors |
Sahoo, S; Sahoo, KS; Sahoo, B; Gandomi, AH |
| Title |
An Auction based Edge Resource Allocation Mechanism for IoT-enabled Smart Cities |
| Year |
2020 |
| Published |
|
| DOI |
10.1109/ssci47803.2020.9308159 |
| Abstract |
A new era of smart applications like smart home, smart transportation, the smart building begins with the development of the Internet of Things (IoT) technology. These applications collectively form an IoT enabled smart city. The presence of the centralized cloud in IoT enabled smart city causes a high end to end delay and enormous transmission pressure on the communication network. Edge computing is an extension of cloud computing infrastructure that pushes the computing storage and network resource similar to the cloud near the data source, i.e., IoT device. The major concern in the edge computing environment to execute tasks generated by IoT devices is optimal energy consumption while satisfying the delay constraint. In this paper, a multi-objective optimization problem in IoT enabled smart city is formulated as an energy and delay minimization problem. At first, a three-layer network architecture for IoT enabled smart cities is presented. After that, we design an auction-based edge resource allocation scheme considering the proposed network architecture, to provide low computing delay with energy-efficient service for delay-sensitive tasks. The simulation results indicate that the proposed approach performs better compared to some existing approaches. |
| Author Keywords |
Auction; Edge Computing; IoT; Resource Allocation; Smart City |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000682772901043 |
| WoS Category |
Computer Science, Artificial Intelligence; Computer Science, Interdisciplinary Applications; Engineering, Electrical & Electronic |
| Research Area |
Computer Science; Engineering |
| PDF |
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