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Title	Smartparcels: Cross-Layer Iot Planning For Smart Communities
ID_Doc	51883
Authors	Chang T.-C.; Bouloukakis G.; Hsieh C.-Y.; Hsu C.-H.; Venkatasubramanian N.
Year	2021
Published	IoTDI 2021 - Proceedings of the 2021 International Conference on Internet-of-Things Design and Implementation
DOI	http://dx.doi.org/10.1145/3450268.3453526
Abstract	The emergence of IoT-aided smart communities has created the need for a new set of urban planning tools. The extra design process includes instrumenting infrastructures (sensing, networking, and computing devices) in smartspaces to generate information units (from data analytics) to realize a range of required services. In this paper, we propose SmartParcels, a framework that generates a comprehensive and cost-effective plan for instrumenting designated regions of smart communities (often called parcels). SmartParcels embeds an approach to solve the cross-layer IoT planning problem (shown to be NP-hard) that must consider applications, information/data, infrastructure, and geophysical layout as interdependent layers in the overall design. We develop a suite of algorithms (optimal, partial optimal, heuristic) for the problem; urban planners can compose these techniques in a plug-and-play manner to achieve performance trade-offs (optimality, timeliness). SmartParcels can be utilized for clean-slate planning (from scratch) or for retrofit of communities with existing smart infrastructure. We evaluate Smart-Parcels in two real-world settings: National Tsing Hua University in Taiwan and Irvine in California, USA, for clean-slate and retrofit. The evaluation results reveal that SmartParcels can enable a 2X-7X improvement in cost/performance metrics as compared to the baseline algorithm in the clean-slate and retrofit cases. © 2021 Owner/Author. © 2021 ACM.
Author Keywords	IoT planning; placement problem; urban planning tool

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