Work

ISAC-Facilitated Optimal On-demand Mobile Charging Scheme for IoT-based WRSNs

Year: 2024

Type: conference-paper

Abstract: IoT-based wireless sensor networks (WSNs) face significant energy constraints, which can be alleviated by wireless power transfer (WPT) technology. Integrating WPT with WSNs creates wireless rechargeable sensor networks (WRSNs), where optimizing charging efficiency and scheduling is critical. This paper introduces an ISAC-facilitated optimal on-demand mobile charging scheme for IoT-based WRSNs (IOMSN) with three key components. First, it presents an ISAC-assisted prioritized charging queue, incorporating four attributes with probability distributions: residual energy, traffic load, MCV travel time, and direction angle. Second, it provides ISAC-driven estimations of MCV distance, speed, and location to enhance prioritization, thereby optimizing the charging route and potentially reducing travel costs. Third, a time-allocated partial charging model improves charging efficiency. Numerical results show that the proposed protocol outperforms cutting-edge protocols in energy usage efficiency, travel distance, charging delay, and service time.

Source: Proceedings of the 28th Annual International Conference on Mobile Computing And Networking

DOI: 10.1145/3636534.3698228

Authors: Muhammad Umar Farooq Qaisar, Zhuo Sun, Fan Liu, Chang Liu, Guangjie Han, Fisseha Teju Wedaj

Institutions: Northwestern Polytechnical University, Southern University of Science and Technology, Guangdong University of Technology, Hohai University, Adama Science and Technology University

Language: English

Topic: Energy Efficient Wireless Sensor Networks

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Affordable and clean energy

Open Access status: bronze

OpenAlex ID: W4405014411

FWCI: 1.773

Cites: 12

Cited by: 4

Related to: 10