The Experts below are selected from a list of 360 Experts worldwide ranked by ideXlab platform
Markus Anwander - One of the best experts on this subject based on the ideXlab platform.
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UAVNet: A mobile wireless Mesh Network using Unmanned Aerial Vehicles
Globecom Workshops (GC Wkshps), 2012 IEEE, 2012Co-Authors: Simon Morgenthaler, Thomas Staub, Zhongliang Zhao, Torsten Braun, Markus AnwanderAbstract:We developed UAVNet, a framework for the autonomous deployment of a flying Wireless Mesh Network using small quadrocopter-based Unmanned Aerial Vehicles (UAVs). The flying wireless Mesh nodes are automatically interconnected to each other and building an IEEE 802.11s wireless Mesh Network. The implemented UAVNet prototype is able to autonomously interconnect two end systems by setting up an airborne relay, consisting of one or several flying wireless Mesh nodes. The developed software includes basic functionality to control the UAVs and to setup, deploy, manage, and monitor a wireless Mesh Network. Our evaluations have shown that UAVNet can significantly improve Network performance.
Kong Xianglong - One of the best experts on this subject based on the ideXlab platform.
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cluster routing protocol based on zigbee Mesh Network
Computer Engineering, 2009Co-Authors: Kong XianglongAbstract:ZigBee focuses on short-haul,low data rate. The Mesh routing protocol for ZigBee is built on the AODV,adopting an effective routing protocol and reducing overhead for route discovery may interfere with Network traffic. Based on the ZigBee Mesh Network,this paper improves AODV route protocol,and proposes a new AODV_Cluster rouote protocol. AODV_Cluster divides the ZigBee Network topology into one or more logical clusters. A cluster label uses the ZigBee address allocation,and the one cluster can share a new routing. Simulation shows this protocol not only keeps the AODV merit,but also advances the scalability. Especially in dense Network,its performance excells AODV.
Klaus Moessner - One of the best experts on this subject based on the ideXlab platform.
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survey of experimental evaluation studies for wireless Mesh Network deployments in urban areas towards ubiquitous internet
IEEE Communications Surveys and Tutorials, 2013Co-Authors: Serdar Vural, Klaus MoessnerAbstract:Establishing wireless Networks in urban areas that can provide ubiquitous Internet access to end-users is a central part of the efforts towards defining the Internet of the future. In recent years, Wireless Mesh Network (WMN) backbone infrastructures are proposed as a cost effective technology to provide city-wide Internet access. Studies that evaluate the performance of city-wide Mesh Network deployments via experiments provide essential information on various challenges of building them. In this survey, we particularly focus on such studies and provide brief conclusions on the problems, benefits, and future research directions of city-wide WMNs.
F U Yunqing - One of the best experts on this subject based on the ideXlab platform.
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routing protocol for wireless Mesh Network based on combinative metric of link state
Computer Science, 2008Co-Authors: F U YunqingAbstract:Although wireless Mesh Network is one of the most hotspots in wireless Network field,the routing protocol standardization is still on the way.Anovel routing protocol for wireless Mesh Network,MODVWLS,was proposed by using weighted path as routing metric.Each node periodically calculates its weight which is composed of its bandwidth,cache queues and the throughput.MODVWLS chooses the path,which has the smallest accumulative weight from source to destination,as routing path.Weight calculation,message formats,route discovering and maintaining process were also introduced in detail.Several simulations were conducted by ns-2,and the results show that due to the fact that MODVWLS utilizes disengaged nodes sufficiently and balances Network load perfectly,it is better than AODV on packet delivery fraction,end-to-end delay and normalized routing load.
Rajit Gadh - One of the best experts on this subject based on the ideXlab platform.
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Mesh Network for rfid and electric vehicle monitoring in smart charging infrastructure
Journal of communications software and systems, 2014Co-Authors: Ching Yen Chung, Charlie Qiu, Aleksey Shepelev, Chi Cheng Chu, Rajit GadhAbstract:With an increased number of plug-in electric vehicles (PEVs) on the roads, PEV charging infrastructure is gaining an ever-more important role in simultaneously meeting the needs of drivers and those of the local distribution grid. However, the current approach to charging is not well suited to scaling with the PEV market. If PEV adoption continues, charging infrastructure will have to overcome its current shortcomings such as unresponsiveness to grid constraints, low degree of autonomy, and high cost, in order to provide a seamless and configurable interface from the vehicle to the power grid. Among the tasks a charging station will have to accomplish will be PEV identification, charging authorization, dynamic monitoring, and charge control. These will have to be done with a minimum of involvement at a maximum of convenience for a user. The system proposed in this work allows charging stations to become more responsive to grid constraints and gain a degree of Networked autonomy by automatically identifying and authorizing vehicles, along with monitoring and controlling all charging activities via an RFID Mesh Network consisting of charging stations and in-vehicle devices. The proposed system uses a ZigBee Mesh Network of in-vehicle monitoring devices which simultaneously serve as active RFID tags and remote sensors. The system outlined lays the groundwork for intelligent charge-scheduling by providing access to vehicle’s State of Charge (SOC) data as well as vehicle/driver IDs, allowing a custom charging schedule to be generated for a particular driver and PEV. The approach presented would allow PEV charging to be conducted effectively while observing grid constraints and meeting the needs of PEV drivers.
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Mesh Network design for smart charging infrastructure and electric vehicle remote monitoring
International Conference on Information and Communication Technology Convergence, 2013Co-Authors: Aleksey Shepelev, Chi Cheng Chu, Ching Yen Chung, Rajit GadhAbstract:Plug-In Electric Vehicle (PEV) charging today happens with little knowledge of the state of the vehicle being charged. In order to implement smart charging algorithms and other capabilities of the future smart grid, provisions for remote PEV monitoring will have to be developed and tested. The UCLA Smart-grid Energy Research Center (SMERC) is working on a smart charging research platform that includes data acquired in real time from PEVs being charged in order to investigate smart charging algorithms and demand response (DR) strategies for PEVs in large parking garage settings. The system outlined in this work allows PEVs to be remotely monitored throughout the charging process by a smart-charging controller communicating through a Mesh Network of charging stations and in-vehicle monitoring devices. The approach may be used for Vehicle to Grid (V2G) communication as well as PEV monitoring.
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Design of RFID Mesh Network for Electric Vehicle smart charging infrastructure
2013 IEEE International Conference on RFID-Technologies and Applications RFID-TA 2013, 2013Co-Authors: Ching Yen Chung, Charlie Qiu, Aleksey Shepelev, Chi Cheng Chu, Rajit GadhAbstract:With an increased number of Electric Vehicles (EVs) on the roads, charging infrastructure is gaining an ever-more important role in simultaneously meeting the needs of the local distribution grid and of EV users. This paper proposes a Mesh Network RFID system for user identification and charging authorization as part of a smart charging infrastructure providing charge monitoring and control. The Zigbee-based Mesh Network RFID provides a cost-efficient solution to identify and authorize vehicles for charging and would allow EV charging to be conducted effectively while observing grid constraints and meeting the needs of EV drivers.
