TY - JOUR
T1 - SmartParcels
T2 - Constructing Smart Communities Through Human-in-the-Loop Urban IoT Planning
AU - Chang, Tung Chun
AU - Wu, Chih Chun
AU - Bouloukakis, Georgios
AU - Hsu, Cheng Hsin
AU - Venkatasubramanian, Nalini
N1 - Publisher Copyright:
© 2025 Copyright held by the owner/author(s).
PY - 2025/4/14
Y1 - 2025/4/14
N2 - The growth of smart communities has expanded the use of IoT as a critical element in the urban planning toolkit by city officials whose goal is to improve the quality of life for citizens. Smart applications such as air-pollution monitoring, intelligent transportation, and smart buildings pose diverse information needs from the underlying sensing, communication, and computation infrastructure. In this article, we propose SmartParcels, a framework that exploits the service needs of communities to generate a comprehensive and cost-effective plan for instrumenting designated regions (often called parcels). SmartParcels embeds a cross-layer approach incorporating information/data, infrastructure, and geospatial layout as interdependent layers. We explore a suite of algorithms (optimal, partial optimal, heuristic) that can be composed in a plug-and-play manner to achieve performance-cost tradeoffs. SmartParcels can be utilized for clean-slate planning (from scratch) or retrofitting communities with existing smart infrastructure. SmartParcels allows planners to explore the possible impact of unexpected events to improve infrastructure resilience with what-if analyzers. Two real-world settings at Hsinchu, Taiwan, and Irvine, California, are leveraged in the evaluation, which reveals that SmartParcels enables a 2×-7× improvement in cost/performance metrics compared to baseline algorithms and achieves a 57% higher communication throughput while dealing with unexpected events.
AB - The growth of smart communities has expanded the use of IoT as a critical element in the urban planning toolkit by city officials whose goal is to improve the quality of life for citizens. Smart applications such as air-pollution monitoring, intelligent transportation, and smart buildings pose diverse information needs from the underlying sensing, communication, and computation infrastructure. In this article, we propose SmartParcels, a framework that exploits the service needs of communities to generate a comprehensive and cost-effective plan for instrumenting designated regions (often called parcels). SmartParcels embeds a cross-layer approach incorporating information/data, infrastructure, and geospatial layout as interdependent layers. We explore a suite of algorithms (optimal, partial optimal, heuristic) that can be composed in a plug-and-play manner to achieve performance-cost tradeoffs. SmartParcels can be utilized for clean-slate planning (from scratch) or retrofitting communities with existing smart infrastructure. SmartParcels allows planners to explore the possible impact of unexpected events to improve infrastructure resilience with what-if analyzers. Two real-world settings at Hsinchu, Taiwan, and Irvine, California, are leveraged in the evaluation, which reveals that SmartParcels enables a 2×-7× improvement in cost/performance metrics compared to baseline algorithms and achieves a 57% higher communication throughput while dealing with unexpected events.
KW - Additional Key Words and PhrasesIoT planning
KW - human-in-the-loop
KW - placement problem
KW - urban planning
KW - what-if analysis
UR - https://www.scopus.com/pages/publications/105003454510
U2 - 10.1145/3716637
DO - 10.1145/3716637
M3 - Article
AN - SCOPUS:105003454510
SN - 2577-6207
VL - 6
JO - ACM Transactions on Internet of Things
JF - ACM Transactions on Internet of Things
IS - 2
M1 - 10
ER -