TY - GEN
T1 - RESONATE
T2 - 9th IEEE International Conference on Collaboration and Internet Computing, CIC 2023
AU - Gupta, Ragini
AU - Tian, Beitong
AU - Nahrstedt, Klara
AU - Danilov, Claudiu
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - The three-tier sense-edge-cloud (SEC) framework developed as a consequence of the advances in IoT communication represents an inverted multicast paradigm, allowing the sensors to deliver the data to the cloud via edge devices. Due to the increasing volume of data generation and transmission, the SEC framework is often challenged by resource bottlenecks. To remedy this problem, an IoT network must exhibit three key characteristics: optimal network resource efficiency for data transmission, energy efficiency to sustain sensors and applications, and a focus on the fitness score through selective streaming. Taking these criteria into consideration, we conceptualize an approach, called RESONATE, to optimize network resources to achieve essential communication, while alleviating network congestion and energy conservation. It selectively triggers sensors for data transmission based on factors like sensor location, communication range, and fitness score levels. Through extensive simulations, we demonstrate the efficacy of RESONATE in terms of energy efficiency, network bandwidth consumption, and data reporting optimization.
AB - The three-tier sense-edge-cloud (SEC) framework developed as a consequence of the advances in IoT communication represents an inverted multicast paradigm, allowing the sensors to deliver the data to the cloud via edge devices. Due to the increasing volume of data generation and transmission, the SEC framework is often challenged by resource bottlenecks. To remedy this problem, an IoT network must exhibit three key characteristics: optimal network resource efficiency for data transmission, energy efficiency to sustain sensors and applications, and a focus on the fitness score through selective streaming. Taking these criteria into consideration, we conceptualize an approach, called RESONATE, to optimize network resources to achieve essential communication, while alleviating network congestion and energy conservation. It selectively triggers sensors for data transmission based on factors like sensor location, communication range, and fitness score levels. Through extensive simulations, we demonstrate the efficacy of RESONATE in terms of energy efficiency, network bandwidth consumption, and data reporting optimization.
KW - fitness score
KW - inverted-multicast paradigm
KW - IoT
KW - resource efficiency
KW - selective streaming
KW - sense-edge-cloud
UR - http://www.scopus.com/inward/record.url?scp=85186677509&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85186677509&partnerID=8YFLogxK
U2 - 10.1109/CIC58953.2023.00015
DO - 10.1109/CIC58953.2023.00015
M3 - Conference contribution
AN - SCOPUS:85186677509
T3 - Proceedings - 2023 IEEE 9th International Conference on Collaboration and Internet Computing, CIC 2023
SP - 35
EP - 41
BT - Proceedings - 2023 IEEE 9th International Conference on Collaboration and Internet Computing, CIC 2023
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 1 November 2023 through 3 November 2023
ER -