Research on a Multi-robot Routing Optimization Method Based on Hybrid Lora Location

Jin, Zilong; Zeng, Xiangjin

doi:10.1109/crc51253.2020.9253454

Cited by 3 publications

(2 citation statements)

References 4 publications

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“…Hu et al discussed that [28] utilizing direct communication instead of multi-hop to reduce the delay increases consumption of energy, whereas data collection delay is increased by using multi-hop routing. Accordingly, the issues of energy conservation, reducing delay and/or increasing the unit of collected data items, need to be addressed to design data aggregation routing protocols and enhance their performance in MRS. [29]- [34] about distributed data aggregation protocol supporting multi-hop data transmission for multi-robot communication. They also discussed about the energy consumption needs to be reduced because a robot has limited power.…”

Section: Literature Reviewmentioning

confidence: 99%

Adaptive Flower Pollination Algorithm-Based Energy Efficient Routing Protocol for Multi-Robot Systems

et al. 2021

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The exploration and mapping of unknown environments, where the reliable exchange of data between the robots and the base station (BS) also plays a pivotal role, are some of the fundamental problems of mobile robotics. The maximum energy of a robot is utilized for navigation and communication. The communication between the robots and the BS is limited by the transmission range and the battery capacity. This situation inflicts constraints while designing an effective communication strategy for a multi-robot system (MRS). The biggest challenge lies in designing a unified framework for navigation and communication of the robots. The underlying notion is to utilize the minimum energy for communication (without limiting the range/efficiency of communication) to ensure that the maximum energy can be used for navigation (for larger area coverage). In this work, we present a communication strategy by using adaptive flower pollination optimization algorithm for MRS in conjunction with simultaneous localization and mapping (SLAM) technique for navigation and map making. The proposed strategy has been compared with multiple routing algorithms in terms of network life time and energy efficiency. The proposed strategy performs 4% better compared with harmony search algorithm (HSA) and approximately 10% better compared with distance aware residual energy-efficient stable election protocol (DARE-SEP) in terms of the total network lifetime when 50% of robots are alive. The performance drastically improves by 20% till the last robot is alive compared with HSA and approximately 26% compared with DARE-SEP. Hence, the energy saved during communication with the utilization of proposed strategy helps the robots explore more areas, which ultimately elevates the efficacy of the whole system.

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Section: Literature Reviewmentioning

confidence: 99%

Adaptive Flower Pollination Algorithm-Based Energy Efficient Routing Protocol for Multi-Robot Systems

et al. 2021

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“…BLE beacon is low power consumption device and its coverage area will become smaller compared to WI-FI due to short signal reachable distance [8]. The beacons can be placed at various places due to its small dimension [9]. BLE beacon operate on 2.4 Ghz frequency which is same with classic Bluetooth and both technologies apply similar modulation scheme which is gaussian frequency shift keying.…”

Section: Introductionmentioning

confidence: 99%

Indoor positioning utilizing bluetooth low energy (BLE) RSSI on LoRa system

Suseenthiran

Ja'afar

Heng

et al. 2021

IJEECS

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Indoor positioning systems has become popular in this era where it is a network of devices used to locate people or object especially in indoor environment instead of satellite-based positioning. The satellite-based positioning global positioning system (GPS) signal is affected and loss incurred by the wall of the building causes the GPS lack of precision which leads to large positioning error. As a solution to the indoor area coverage problem, an indoor positioning based on bluetooth low energy (BLE) and long range (LoRa) system utilising the receive signal strength indicator (RSSI) is proposed, designed and tested. In this project, the prototype of indoor positioning system is built using node MCU ESP 32, LoRa nodes and BLE beacons. The node MCU ESP 32 will collect RSSI data from each BLE beacons that deployed at decided position around the area. Then, linear regression algorithm will be used in distance estimation. Next, particle filteris implemented to overcome the multipath fading effect and the trilateration technique is applied to estimate the user’s location. The estimated location is compared to the actual position to analyze the root mean square error (RMSE) and cumulative distribution function (CDF). Based on the experiment result, implementing the particle filter reduces the error of location accuracy. The particle filter achieves accuracy with 90% of the time the location error is lower than 2.6 meters.

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