Journal
IET COMMUNICATIONS
Volume 14, Issue 17, Pages 2915-2923Publisher
WILEY
DOI: 10.1049/iet-com.2019.0201
Keywords
linear programming; Bluetooth; Global Positioning System; simulated annealing; vectors; wireless communication; signal power ranking; beacon-based indoor positioning; positioning accuracy; SPR; grid-based field; deployment field; received signal strength indicator; optimisation-based model; linear programming problem; test field; received beacon RSSI value; Bluetooth 4; 0 low-energy network technologies; simulated annealing; vector table
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Funding
- 'Intelligence Recognition Industry Service Research Center (IR-IS Research Center)' from The Featured Areas Research Center Program by the Ministry of Education (MOE) in Taiwan
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Beacon-based indoor positioning is popular in recent years. In this work, the authors aim to enhance the positioning accuracy by proposing signal power ranking (SPR) and solving related optimisation-based deployment problem of beacons using wireless communication and Bluetooth 4.0 Bluetooth low-energy network technologies. The authors first adopt grid-based field to be the proposed deployment field. Second, they convert the received signal strength indicator (RSSI) to several levels called SPR. Third, an optimisation-based model for deployment problem of beacons in indoor positioning is proposed on the basis of the above two considerations. The proposed model is to minimise the number of beacons required under some fundamental conditions including full coverage and full discrimination, respectively. Finally, the algorithm of simulated annealing is applied to solve the linear programming problem in this model. By the optimal results, the user can obtain a vector table of RSSI for each location efficiently in the test field. On the other hand, the user in the test field can receive the beacon RSSI value at the same time. In order to determine the user's location, the received beacon RSSI value is compared with the values in the vector table.
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