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Relay Placement Algorithms for Communication in a Heterogeneous Propagation Environment

Rathod, N and Sundaresan, R (2019) Relay Placement Algorithms for Communication in a Heterogeneous Propagation Environment. In: 12th IFIP Wireless and Mobile Networking Conference, WMNC 2019, 11 - 13 September 2019, Paris, pp. 219-226.

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Official URL: https://doi.org/10.23919/WMNC.2019.8881829


A vast majority of the IoT devices will be connected in a topology where edge-devices push data to a local gateway which in turn forward the data to the cloud for analytics and archiving. In large networks, many edge-nodes will be located far away from their nearest gateways. Due to their locations and limited transmission power, these edge-nodes might experience poor network coverage. To provide reliable connectivity to these edge-nodes, relays/repeaters may have to be placed at a few locations until a gateway is reached. Network deployment engineers often do this based on field visits, surveys, measurements, initial deployments, followed by fine-tuning. For the scalability of such deployments, automated network planning tools are essential. Such tools should be able to predict coverage based on the edge-node locations using perhaps GIS data, identify the need for relays/repeater and, if needed, suggest the number and locations of relays, in order to provide reliable connectivity. This entire process should be as fast and automated as possible for rapid network deployment. In this paper, using a black box RSSI estimator between any candidate pair of transceiver locations, we propose a network deployment framework that uses either Ant Colony Optimisation (ACO) or Differential Evolution (DE) to identify the number and location of relays for meeting specified quality of service constraints. We also show how to handle multiple gateways. © 2019 IFIP.

Item Type: Conference Paper
Publication: Proceedings of the 12th IFIP Wireless and Mobile Networking Conference, WMNC 2019
Publisher: Institute of Electrical and Electronics Engineers Inc.
Additional Information: The copyright for this article belongs to Institute of Electrical and Electronics Engineers Inc.
Keywords: Ant colony optimization; Evolutionary algorithms; Geographic information systems; Internet of things; Location; Mobile telecommunication systems; Quality of service, Differential Evolution; Heterogeneous; Limited transmission power; Propagation environment; Quality of Service constraints; RF propagation; RSSI; Sub-GHz, Gateways (computer networks)
Department/Centre: Division of Electrical Sciences > Electrical Communication Engineering
Division of Interdisciplinary Sciences > Robert Bosch Centre for Cyber Physical Systems
Date Deposited: 07 Jan 2023 04:54
Last Modified: 07 Jan 2023 04:54
URI: https://eprints.iisc.ac.in/id/eprint/78841

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