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Interference Power Bound Analysis of a Network of Wireless Robots [article]

Pradipta Ghosh, Bhaskar Krishnamachari
2016 arXiv   pre-print
We consider a fundamental problem concerning the deployment of a wireless robotic network: to fulfill various end-to-end performance requirements, a "sufficient" number of robotic relays must be deployed  ...  Furthermore, we also use the bound on robot count to formulate a lower bound on the number of orthogonal codes required for a high probability of interference free communication.  ...  search for a proper model of interference and Signal to Interference plus Noise Ratio (SINR) range analysis in a CSMA/CA based wireless network.  ... 
arXiv:1608.08261v3 fatcat:igof2ks6lrcpzljkre7pqwzwia

Building Reliable MD PnP Systems

Mu Sun, Qixin Wang, Lui Sha
2007 2007 Joint Workshop on High Confidence Medical Devices, Software, and Systems and Medical Device Plug-and-Play Interoperability (HCMDSS-MDPnP 2007)  
First, the robustness of a wireless network can be improved by the use of DSSS-CDMA, which tradeoff throughput to achieve higher reliability and persistence of connections as needed.  ...  We address two necessary issues needed for developing safe and reliable MD PnP systems: robust wireless networking and automated checking for component interoperability and reliability.  ...  The jamming node transmits continuously for 10 seconds to interfere the wireless communication between the controller and the robots. All nodes transmit with the same power.  ... 
doi:10.1109/hcmdss-mdpnp.2007.10 fatcat:p6iasgd5d5c5zcmxrm4or4rxpm

High-fidelity radio communications modeling for multi-robot simulation

Dylan A. Shell, Maja J. Mataric
2009 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems  
Robot simulators Few robotic simulators provide realistic models of wireless network failures or unreliability (cf. Stage [1], Gazebo [2], Teambots [3], Webots [4] 1 ).  ...  For example, software might be shown to cope with a complete communications failure, a network partition, or a bounded message loss rate.  ...  RELATED WORK This is a high-level analysis of the state of network simulation, first within the robotics and then the sensornetworking communities. models consider only the link-layer behavior.  ... 
doi:10.1109/iros.2009.5353986 dblp:conf/iros/ShellM09 fatcat:k3hlfxxhg5dpdpk722oyav2ily

Coverage Probability and Area Spectral Efficiency of Clustered Linear Unmanned Vehicle Sensor Networks

Haejoon Jung, In-Ho Lee
2017 Sensors  
In particular, in interference-limited networks with high node density, stochastic geometry is a powerful technique to simplify modelling and provide accurate enough insights into various wireless networks  ...  In stochastic geometry analysis, the networks are abstracted to a point process (PP) that reflects characteristics of a given network.  ...  In the networked robotics applications, multiple robots perform a team task in a distributed fashion by exchanging sensing data via the communication network.  ... 
doi:10.3390/s17112550 pmid:29113081 pmcid:PMC5712862 fatcat:a56bq2xbbfdjxcwihc3v4x4qa4

Code Division Multiple Access Wireless Power Transfer for Energy Sharing in Heterogenous Robot Swarms

Akshay Sarin, Al-Thaddeus Avestruz
2020 IEEE Access  
power, power networks, zero voltage switching.  ...  INDEX TERMS Code division multiple access, energy sharing, heterogeneous swarms, multiple access energy transfer, wireless power transfer, robot swarms, energy networks, resonant converters, distributed  ...  ad-hoc wireless charging networks for robotic swarms.  ... 
doi:10.1109/access.2020.3010202 fatcat:mikvmbhmlvhmzh3j3p4mvvovny

Distributed Sensing and Data Collection Via Broken Ad Hoc Wireless Connected Networks of Mobile Robots [chapter]

Alan Ft Winfield
2000 Distributed Autonomous Robotic Systems 4  
The robots are assumed to be equipped with low-power short-range wireless network interfaces, which only allow direct communication with near neighbours, and overall an ad hoc (multi-hop) wireless networking  ...  The paper proposes a mechanism that exploits the mobility of the robots to overcome the lack of overall wireless network connectivity, resulting in a sub-optimal but robust scheme for garnering sense data  ...  A model of robot connectivity for analysis and simulation For the purpose of the simulation presented in this paper we shall assume an idealised wireless communications model for the mobile robot.  ... 
doi:10.1007/978-4-431-67919-6_26 fatcat:cvoqa33yjzacjaoonqfboluyja

Packet forwarding mechanism for mobile robots bounded by random walk model

Rohit Mathur, Tarun Dubey
2018 EAI Endorsed Transactions on Internet of Things  
This paper presents a packet forwarding mechanism for ZigBee based mobile wireless sensor network nodes.  ...  With the evolution of technology search and rescue operations are now been executed with the help of mobile robots. Wired mobile robot deployment is very cumbersome and constrained.  ...  Received signal power level depicts the sum of the message signal power level and interference.  ... 
doi:10.4108/eai.13-7-2018.163307 fatcat:wgmnvmu2ura4nil5sviv4ylr7a

2020 Index IEEE Transactions on Green Communications and Networking Vol. 4

2020 IEEE Transactions on Green Communications and Networking  
., +, TGCN March 2020 16-30 Modeling and Analysis of Energy Harvesting and Smart Grid-Powered Wireless Communication Networks: A Contemporary Survey.  ...  Kotagi, V.J., +, TGCN Sept. 2020 631-646 Modeling and Analysis of Energy Harvesting and Smart Grid-Powered Wireless Communication Networks: A Contemporary Survey.  ... 
doi:10.1109/tgcn.2020.3040053 fatcat:vezhfmfgqfd5jislcy5zasqmay

Advances in Wireless Video Capsule Endoscopy

Muzaffer Kanaan, Hamed Farhadi
2017 International Journal of Wireless Information Networks  
In addition, in order to develop active VCE systems, wireless power transfer to capsule/ micro-robots with energy harvesting capability needs to be investigated that provide sufficient energy for the actuators  ...  Analysis of fundamental performance limits for VCE localization is quite important, as it can help guide the design  ...  , and wireless information networks.  ... 
doi:10.1007/s10776-017-0350-7 fatcat:eskiw6nmbzbqlbhyp4adnxa6ki

A SysML representation of the wireless factory work cell

Richard Candell, Mohamed Kashef, Yongkang Liu, Sebti Foufou
2019 The International Journal of Advanced Manufacturing Technology  
Wireless technology is a key enabler of that vision.  ...  the physical and network domains in such a cyber-physical system (CPS).  ...  Clock performance is a key driver of size and power consumption, and synchronization of clocks across a wireless network can be a challenge and is a highly studied field [27, 44] .  ... 
doi:10.1007/s00170-019-03629-x pmid:31551643 pmcid:PMC6758568 fatcat:cjvcxczjxfhg3dmcr4p6jbtxii

Robotic Wireless Sensor Networks [article]

Pradipta Ghosh, Andrea Gasparri, Jiong Jin, Bhaskar Krishnamachari
2018 arXiv   pre-print
to as Robotic Wireless Sensor Networks (RWSN).  ...  In this chapter, we present a literature survey of an emerging, cutting-edge, and multi-disciplinary field of research at the intersection of Robotics and Wireless Sensor Networks (WSN) which we refer  ...  Ghosh and Krishnamachari [55] have proposed a log normal model based stochastic bound on interference power and SINR for any RWSN.  ... 
arXiv:1705.05415v3 fatcat:tzfvtbmrrjeublcqbujplxxxje

Enabling Fog-based Industrial Robotics Systems

Mohammed Salman Shaik, Gerhard Fohler, Alexandre Venito, Stefan Schulte, Vasileios Karagiannis, Thomas Nolte, Alessandro V. Papadopoulos, Nitin Desai, Van-Lan Dao, Zeinab Bakhshi, Václav Struhár
2020 Zenodo  
Acknowledgement: This research has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreements No.764785, FORA-Fog Computing for Robotics  ...  While the processing power of the fog layer is less than that of the cloud layer, the network latency, however, is improved.  ...  The network is assumed to be hybrid of wired and wireless networks to exploit the benefits of both advanced wired and wireless technologies under the practical constraints of reliability, timeliness, and  ... 
doi:10.5281/zenodo.5856350 fatcat:t6vlzui7zvflbhwjqug4tch7vy

Non-Linear Error Identifier Algorithm for Configuring Mobile Sensor Robot

P Rajaram., P Prakasam.
2015 Journal of Electrical Engineering and Technology  
To resolve this, a mobile robot is presented to identify the data present in the partitioned sensor networks and passed onto the sink.  ...  In such environment, the battery life of the sensor networks is limited due to collection of the data, usage of sensing, computation and communication.  ...  A specific type of wireless networks with interference constraints on the set of links to be served simultaneously at any given time has been presented in [6] by restricting the traffic to be single-hop  ... 
doi:10.5370/jeet.2015.10.3.1201 fatcat:s2wfwhy5d5firb7cbgickao7gu

Empirical Analysis of Bi-directional Wi-Fi Network Performance on Mobile Robots in Indoor Environments [article]

Pranav Pandey, Ramviyas Parasuraman
2022 arXiv   pre-print
The framework is generalizable to vehicular network evaluation and the discussions and insights from this study apply to the field robotics community, where the wireless network plays a key role in enabling  ...  We analyze the bidirectional network performance of mobile robots through an experimental setup in an indoor environment, where a mobile robot is communicating vital sensor data such as video streaming  ...  Network errors indicate how good is the wireless channel in dealing with interferences and mobility. Having fewer network errors is desirable for healthy robot communication.  ... 
arXiv:2110.03011v2 fatcat:zrcuetnvg5binngb6qowggakam

Cross-Layer Design and Performance Analysis for Ultra-Reliable Factory of the Future based on 5G Mobile Networks

Athirah Mohd Ramly, Nor Fadzilah Abdullah, Rosdiadee Nordin
2021 IEEE Access  
Thus, the sum received power of temp sensors (∑ ( , ) was modelled as an interference in the calculation of SINR (v, t) for each sensor/robotic s at the t in (9) , where ksi ϵ [0,1] is the self-interference  ...  with a device bandwidth of 200 kHz, which is essential for a reliability analysis [41] .  ... 
doi:10.1109/access.2021.3078165 fatcat:jqmpsqaknza4djobdnjk4ixhpq
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