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A Steepest Descent Relocation Algorithm for Placement of Sinks in a Sensor Network

Mehdi Kalantari, Mark Shayman
2007 IEEE GLOBECOM 2007-2007 IEEE Global Telecommunications Conference  
In this paper we use an information flow model for placement of traffic sinks in a wireless sensor network.  ...  We use this result in order to introduce iterations that relocate sinks and show that in the optimal placement of sinks, the value of the vector field is zero at the location of each sinks.  ...  In this methodology a traffic density vector field models transportation of traffic in a wireless network.  ... 
doi:10.1109/glocom.2007.233 dblp:conf/globecom/KalantariS07 fatcat:omeijemaobfujoikkh26kbkzta

System Design and Optimization of In-route Wireless Charging Infrastructure for Shared Automated Electric Vehicles

Ahmed A. S. Mohamed, Andrew Meintz, Lei Zhu
2019 IEEE Access  
Utilizing wireless power transfer (WPT) technology to charge the SAEVs provides perfect fits for realizing a fully automated mobility system.  ...  This paper introduces a system design optimization tool and methodology for WCI for serving fixed-route SAEVs in automated mobility districts (AMDs).  ...  optimization layer to automatically find the best combination of the system key design parameters, including battery capacity, charging power, placement location, track length, etc. • Formulating and solving  ... 
doi:10.1109/access.2019.2920232 fatcat:7w3qglf2zva7tndziun3nxn5cy

Joint 3D Trajectory Design and Time Allocation for UAV-Enabled Wireless Power Transfer Networks

Wanmei Feng, Nan Zhao, Shaopeng Ao, Jie Tang, Xiuyin Zhang, Yuli Fu, Daniel Ka Chun So, Kai-Kit Wong
2020 IEEE Transactions on Vehicular Technology  
We aim to maximize the energy harvested at all ERs by jointly optimizing the UAV's three-dimensional (3D) placement, beam pattern and charging time.  ...  Index Terms-Multi-beam, trajectory optimization, UAV 3D placement, wireless power transfer.  ...  In Section II, the UAV-enabled WPT system model is described and the energy harvesting optimization problem is formulated.  ... 
doi:10.1109/tvt.2020.2972133 fatcat:otabrrrl45dedp3rwgw45kmvqe

Cooperation scenarios in multi-agent water monitoring platform

Octavian Fratu, Maria Madalina Andronache, Ana-Maria C Dragulinescu, Carmen Voicu, Alexandru Vulpe
2019 Periodicals of Engineering and Natural Sciences (PEN)  
Aerial and surface water vectors are used as carrier systems for sensor-based detection equipment along with a technical solution that allows the cooperation between the robotic vectors.  ...  Within the MultiMonD2 project, a multi-agent platform of micro-laboratories specialized in the water quality monitoring of the Danube river and Delta is being developed.  ...  Acknowledgement This work was supported by a grant of the Ministry of Innovation and Research, UEFISCDI, project number 33PCCDI/2018 within PNCDI III.  ... 
doi:10.21533/pen.v7i1.393 fatcat:2tac5j24irgltjpweb3gcfixai

Optimal deployment of large wireless sensor networks

S. Toumpis, L. Tassiulas
2006 IEEE Transactions on Information Theory  
Assuming a general model for the physical layer, and specifying that nodes must not only transport the data, but also sense them at the sources and deliver them at the sinks, the optimal placement of nodes  ...  The problem is to find the optimal placement of nodes, so that a minimum number of them is needed.  ...  Under a more general physical layer model, the optimal traffic flow no longer corresponds to an electrostatic field.  ... 
doi:10.1109/tit.2006.876256 fatcat:2dyfbarw3bgivhq6pwroszgidu

Parameter Identification of Capacitive Power Transfer System Based on Spectrum Analysis

Chen Chen, Institute of Electrical Engineering, Chinese Academy of Sciences, Chenhui Li, Chenglin Liao, Lifang Wang, Institute of Electrical Engineering, Chinese Academy of Sciences, Institute of Electrical Engineering, Chinese Academy of Sciences, Institute of Electrical Engineering, Chinese Academy of Sciences
2018 CPSS Transactions on Power Electronics and Applications  
However, during the wireless charging process of EV, wireless power transfer (WPT) system often needs to work under different coupling conditions due to the uncertainty of the placement position and external  ...  Recently, with the increase of the power capacity of the CPT system, it has become a new research focus in the field of wireless charging for electric vehicles.  ... 
doi:10.24295/cpsstpea.2018.00017 fatcat:qihep5sv2zgn3oecnfnmsrznrq

Maximizing the Lifetime of Wireless Devices in Millimeter Wave UAV Networks

Hazim Shakhatreh, Waed Malkawi
2020 Universal Journal of Electrical and Electronic Engineering  
In this paper, we are motivated to explore if the placement of UAV can enhance the time durations of uplink transmissions of wireless devices in Millimeter Wave UAV networks.  ...  Then, we study the problem of optimal UAV placement, where the objective is to determine the placement of a single UAV such that the sum of time durations of uplink transmissions is maximized.  ...  The rest of this paper is organized as follows. In Section 2, we describe the system model.  ... 
doi:10.13189/ujeee.2020.070402 fatcat:hnqtcz3xbzg35mjsaahljt6c7e

Fault-Tolerant Relay Node Placement in Wireless Sensor Networks for Surveillance of Overhead Transmission Lines

Kaixuan Wang, Jian Yang, Mukhtaj khan
2022 Mathematical Problems in Engineering  
After analyzing the model, we identify the optimal placement for fault tolerance and then propose a placement algorithm with optimal deployment.  ...  In this paper, we follow the framework and further explore deployment problems systematically. Firstly, we present a fault-tolerance placement model.  ...  Programs of Higher Education Institutions in Shanxi (no. 2020L0252).  ... 
doi:10.1155/2022/6077374 fatcat:6fdwc2avfbafzjc3v7vo5vubse

Joint sensor placement and power rating selection in energy harvesting wireless sensor networks

Osama M. Bushnaq, Tareq Y. Al-Naffouri, Sundeep Prabhakar Chepuri, Geert Leus
2017 2017 25th European Signal Processing Conference (EUSIPCO)  
In this paper, the focus is on optimal sensor placement and power rating selection for parameter estimation in wireless sensor networks (WSNs).  ...  In particular, the aim is to reconstruct the estimation parameter with minimum error at a fusion center under a system budget constraint.  ...  The wireless channel gain is modeled as g n = r −γ n , where r n is the distance between the n-th sensor and the fusion center and γ = 2 is the path loss exponent, i.e., we assume radio propagation in  ... 
doi:10.23919/eusipco.2017.8081645 dblp:conf/eusipco/BushnaqACL17 fatcat:7ziqy2k4arfhpd7k7mphiixfva

Optimal Placement of wireless charging lanes in road networks

Hayato Ushijima-Mwesigwa, ,School of Computing, Clemson University, Clemson, SC 29634, USA, MD Zadid Khan, Mashrur A. Chowdhury, Ilya Safro, ,Department of Civil Engineering, Clemson University, Clemson, SC 29634, USA
2017 Journal of Industrial and Management Optimization  
In this work, the placement of wireless charging lanes is modeled as an integer programming problem. The basic formulation is used as a building block for different realistic scenarios.  ...  From a network perspective, a major challenge is determining the most important nodes with respect to the placement of the wireless charging lanes.  ...  This research is supported by the National Science Foundation under Award #1647361.  ... 
doi:10.3934/jimo.2020023 fatcat:qbx3mt6adra7rhj4t2aam6p4xe

Optimization strategy of wireless charger node deployment based on improved cuckoo search algorithm

Yang Wang, Feifan Wang, Yujun Zhu, Yiyang Liu, Chuanxin Zhao
2021 EURASIP Journal on Wireless Communications and Networking  
AbstractIn wireless rechargeable sensor network, the deployment of charger node directly affects the overall charging utility of sensor network.  ...  of sensor nodes, reduce the number of charger nodes and find the optimal solution to meet the conditions, so as to maximize the network charging utility.  ...  Acknowledgements The authors acknowledged the anonymous reviewers and editors for their efforts in valuable comments and suggestions.  ... 
doi:10.1186/s13638-021-01951-1 fatcat:coibkufyrrcujmozteqtrgqc5a

Trajectory Optimization of Flying Energy Sources using Q-Learning to Recharge Hotspot UAVs [article]

Sayed Amir Hoseini, Jahan Hassan, Ayub Bokani, Salil S. Kanhere
2020 arXiv   pre-print
In this paper, we model the trajectory optimization of tUAVs as a Markov Decision Process (MDP) problem and solve it using Q-Learning algorithm.  ...  In this paper, we study a scenario where UAVs are deployed as base stations (UAV-BS) providing wireless Hotspot services to the ground nodes, while harvesting wireless energy from flying energy sources  ...  optimization of the tUAVs can be modeled as an MDP given that the movement decision at any given step affects the long-term discounted utility of the underlying mobile communication system supported by  ... 
arXiv:2003.12258v1 fatcat:x2rkgq5eqjdjtnbgk3v7mwrwme

Joint Sensor Placement And Power Rating Selection In Energy Harvesting Wireless Sensor Networks

Tareq Y. Al-Naffouri, Osama Bushnaq, Sundeep Prabhakar Chepuri, Geert Leus
2018 Zenodo  
Publication in the conference proceedings of EUSIPCO, Kos island, Greece, 2017  ...  Fig. 1 .Fig. 2 . 12 System Sensor placement and power map.  ...  The wireless channel gain is modeled as g n = r −γ n , where r n is the distance between the n-th sensor and the fusion center and γ = 2 is the path loss exponent, i.e., we assume radio propagation in  ... 
doi:10.5281/zenodo.1159848 fatcat:7bwv5uvz6jh55pog5tsk6egu7y

Wireless Charging Technologies: Fundamentals, Standards, and Network Applications

Xiao Lu, Ping Wang, Dusit Niyato, Dong In Kim, Zhu Han
2016 IEEE Communications Surveys and Tutorials  
However, the incorporation of wireless charging into the existing wireless communication systems also brings along a series of challenging issues with regard to implementation, scheduling, and power management  ...  In this article, we present a comprehensive overview of wireless charging techniques, the developments in technical standards, and their recent advances in network applications.  ...  The authors developed an ILP model, called mission-aware placement of wireless power transmitters (MAPIT), to optimize the number of devices charged from each landmark.  ... 
doi:10.1109/comst.2015.2499783 fatcat:ezqb6np63nasnglhyyfqd26oja

Wireless Power Transmitter Deployment for Balancing Fairness and Charging Service Quality [article]

Mingqing Liu, Gang Wang, Georgios B. Giannakis, Mingliang Xiong, Qingwen Liu, Hao Deng
2020 arXiv   pre-print
Based on the RBC transmitter's coverage model and receiver's charging / discharging model, a Genetic Algorithm (GA)-based and a Particle Swarm Optimization (PSO)-based scheme are put forth to resolve the  ...  Numerical results corroborate that the optimized deployment schemes outperform uniform and random deployment in 10%-20% charging efficiency improvement.  ...  chosen from the entries in the row vector alphabet.  ... 
arXiv:2004.08520v1 fatcat:sonu4gtujzbhdbufvryt4nfum4
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