Abstract
In the Internet of Things (IoT)-based smart city applications, employing the Data Collectors (DC) as the data brokers between the nodes and Base Station (BS) can be a promising solution to enhance the energy efficiency of energy-constrained IoT sensor nodes. There are several schemes that utilize mobile DCs to collect the data packets from sensor nodes. However, moving DCs along the hundreds of thousands of sensors sparsely distributed across a smart city is considered a design challenge in such schemes. Another concern lies in how these mobile DCs are being powered. Therefore, to overcome these limitations, we exploit multiple energy-limited Static Data Collectors (SDC) which are deployed at the locations optimized so that the energy consumption of both nodes and SDCs is minimized. Likewise, an Unmanned Aerial Vehicle (UAV)-enabled wireless power transfer is considered for sustaining the SDCs to avoid their energy depletion and data packet loss. The sustainable charging process operates periodically in each cycle so that the UAV flies from a charging station and after recharging the SDCs, it comes back to the station to be recharged. In this study, we formulate a problem to optimize the movement trajectory and charging time of UAV so that sustainable operation of SDCs during a cycle can be achieved. Unlike the prior studies, our proposed scheme determines the optimal trajectory and charging time at the beginning of each cycle which leads to increase accuracy in comparison with long-term optimization-based schemes. The outcomes of simulation experiments show that the proposed scheme achieves improved network performance in terms of data delivery ratio (12.5%); system throughput (6.6%); total energy consumption (59.19%); and network lifetime (58%) as compared to previous related works.
Highlights
The vast urbanization of population has provoked the need for smart cities [1,2,3]
In this sub-section, the proposed sustainable operation time of Static Data Collectors (SDC)-based mechanism is evaluated in terms of computation time, charging time of Unmanned Aerial Vehicle (UAV), and energy consumption ratio of SDCs. likewise, the movement path and charging time of UAV is determined by the approaches proposed in CTOWMC, WMCEO2, and Fair Energy Division Scheme (FEDS) schemes, inclusively
We present an efficient energy static data collector based scheme using UAV-enabled wireless power transfer in smart cities
Summary
The vast urbanization of population has provoked the need for smart cities [1,2,3]. A smart city refers to a set of Wireless Sensor Network (WSN)-based systems which leads to transformation of. An Energyefficient Mobile-sink Sojourn Location Optimization (EMSLO) scheme is presented in [23], which aims to maximize the coverage time and enhance the balanced energy consumption of nodes in a smart home. To this end, the sojourn locations of mobile sink is determined so that the variance energy of nodes is minimized. Unlike the prior WPT based schemes that attempt to enhance the operation time of sensor nodes, the aim behind our proposed work is to avoid the energy depletion of other service providers (static data collectors) via recharging their batteries permanently, which leads to reduce the data packet loss.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
