TY - GEN
T1 - SmartParcels
T2 - 6th ACM/IEEE International Conference on Internet of Things Design and Implementation, IoTDI 2021
AU - Chang, Tung Chun
AU - Bouloukakis, Georgios
AU - Hsieh, Chia Ying
AU - Hsu, Cheng Hsin
AU - Venkatasubramanian, Nalini
N1 - Publisher Copyright:
© 2021 ACM.
PY - 2021/5/18
Y1 - 2021/5/18
N2 - 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.
AB - 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.
KW - IoT planning
KW - placement problem
KW - urban planning tool
U2 - 10.1145/3450268.3453526
DO - 10.1145/3450268.3453526
M3 - Conference contribution
AN - SCOPUS:85107215151
T3 - IoTDI 2021 - Proceedings of the 2021 International Conference on Internet-of-Things Design and Implementation
SP - 195
EP - 207
BT - IoTDI 2021 - Proceedings of the 2021 International Conference on Internet-of-Things Design and Implementation
PB - Association for Computing Machinery, Inc
Y2 - 18 May 2021 through 21 May 2021
ER -