Poster abstract: The utility of wall-blockage modeling for link quality prediction in indoor IoT deployments

Varghese, A and Vinayak, S and Kumar, A and Sundaresan, R (2020) Poster abstract: The utility of wall-blockage modeling for link quality prediction in indoor IoT deployments. In: 2020 IEEE/ACM Fifth International Conference on Internet-of-Things Design and Implementation (IoTDI), 21-24 April 2020, Sydney, Australia, Australia, pp. 262-263.

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Abstract

We consider the problem of deployment of indoor multihop wireless networks for connecting sensors to a data collection station, in the context of Internet of Things (IoT) applications. The locations of the source nodes and the sink are fixed, and additional router nodes might be needed to create a connected network that provides the required quality of service (QoS). Practical constraints often dictate that these cannot be placed just anywhere, and so we assume that several potential relay locations are provided. The problem is then to design a multihop network connecting the sensors to the sink, using a minimal set of the potential relay locations, that meets the network QoS. A priori, the qualities of links terminating on potential locations are not known. We are interested in a predict-place-iterate approach for relay deployment. Thus, the quality of the deployed network depends on the quality of the link prediction model. In this work, we study the improvement in network deployment that is provided by including the number of intervening walls on the link, in addition to using link length, in the link prediction model. Our comprehensive study involving analysis, simulations and experimental validation demonstrates that including the number of walls in the link prediction model can lead to a larger probability of successful design, fewer router nodes, and fewer iterations until successful design. © 2020 IEEE.

Item Type:	Conference Paper
Publication:	Proceedings - 5th ACM/IEEE Conference on Internet of Things Design and Implementation, IoTDI 2020
Publisher:	Institute of Electrical and Electronics Engineers Inc.
Additional Information:	cited By 0; Conference of 5th ACM/IEEE Conference on Internet of Things Design and Implementation, IoTDI 2020 ; Conference Date: 21 April 2020 Through 24 April 2020; Conference Code:160176
Department/Centre:	Division of Electrical Sciences > Electrical Communication Engineering
Date Deposited:	04 Nov 2020 11:32
Last Modified:	04 Nov 2020 11:32
URI:	http://eprints.iisc.ac.in/id/eprint/65745

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