| Title |
Performance optimization of LoRa nodes for the future smart city/industry |
| ID_Doc |
37908 |
| Authors |
Sandoval, RM; Garcia-Sanchez, AJ; Garcia-Haro, J |
| Title |
Performance optimization of LoRa nodes for the future smart city/industry |
| Year |
2019 |
| Published |
Eurasip Journal On Wireless Communications And Networking, 2019, 1 |
| DOI |
10.1186/s13638-019-1522-1 |
| Abstract |
The application of long-range communication technologies such as LoRa to certain environments like smart cities/industries is a natural step forward towards the future IoT. However, the strict limitations imposed in some countries on the duty cycle of ISM bands can jeopardize this technological progress. To overcome this and, at the same time, improve IoT nodes' transmission and power efficiency, a novel mathematical model has been derived. Its numerical analysis leads to a closed-form formula that characterizes node performance in terms of its transmission policy. The maximization of this formula-required to increase node performance-is then posed as an optimization problem whose solution yields smart transmission policies that maximize throughput while limiting energy consumption. The results achieved under this approach are compared to those obtained using the ADR algorithm (the most extended mechanism for choosing transmission parameters in LoRaWAN networks) and to random/conservative policies to further highlight the benefits of the proposal. Results reveal that the proposed method outperforms ADR by 33.20%, the conservative policy by 91.81%, and the random policy by 238.8%. |
| Author Keywords |
Long-range networks; LoRa; IoT; Smart city; Smart industry |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:000479238400002 |
| WoS Category |
Engineering, Electrical & Electronic; Telecommunications |
| Research Area |
Engineering; Telecommunications |
| PDF |
https://jwcn-eurasipjournals.springeropen.com/track/pdf/10.1186/s13638-019-1522-1
|