Large scale MEMS robots cooperative map building based on realistic simulation of nano-wireless communications

Boillot, Nicolas; Dhoutaut, Dominique; Bourgeois, Julien

doi:10.1016/j.nancom.2015.01.004

Cited by 12 publications

(4 citation statements)

References 14 publications

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“…Ghosh and Krishnamachari [55] have proposed a log normal model based stochastic bound on interference power and SINR for any RWSN. The works presented in [56][57][58] are also related to this context.…”

Section: Rss Models Measurements and Rf Mappingmentioning

confidence: 99%

Robotic Wireless Sensor Networks

Ghosh

Gasparri

Jin

et al. 2019

Mission-Oriented Sensor Networks and Systems: Art and Science

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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 to as Robotic Wireless Sensor Networks (RWSN). We define a RWSN as an autonomous networked multi-robot system that aims to achieve certain sensing goals while meeting and maintaining certain communication performance requirements, through cooperative control, learning and adaptation. While both of the component areas, i.e., Robotics and WSN, are very well-known and well-explored, there exist a whole set of new opportunities and research directions at the intersection of these two fields which are relatively or even completely unexplored. One such example would be the use of a set of robotic routers to set up a temporary communication path between a sender and a receiver that uses the controlled mobility to the advantage of packet routing. We find that there exist only a limited number of articles to be directly categorized as RWSN related works whereas there exist a range of articles in the robotics and the WSN literature that are also relevant to this new field of research. To connect the dots, we first identify the core problems and research trends related to RWSN such as connectivity, localization, routing, and robust flow of information. Next, we classify the existing research on RWSN as well as the relevant state-of-the-arts from robotics and WSN community according

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Section: Rss Models Measurements and Rf Mappingmentioning

confidence: 99%

Robotic Wireless Sensor Networks

Ghosh

Gasparri

Jin

et al. 2019

Mission-Oriented Sensor Networks and Systems: Art and Science

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“…However, by collaboration via nanonetworking, a large number of nanodevices enable achieving valuable application goals. These applications, running on nanonetworks, may concern several areas such as biomedical [2] (e.g., monitoring of cancer cells, glucose or cholesterol), industrial [3,4,5] (e.g., product quality control), environmental (e.g., potable water reservoirs monitoring) or military (e.g., surveillance against biological and chemical attacks at the nanoscale level) [6,7], etc.…”

Section: Introductionmentioning

confidence: 99%

Enhancement and performance analysis of channel access mechanisms in Terahertz band

Aliouat

Rahmani

Mabed

et al. 2021

Nano Communication Networks

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“…Over the last decade, Wireless NanoNetworks (WNN), such as Nano Sensors Networks (WNSN) [15], Body Area Network (BAN) [4] or swarm nanorobot networks [5], has received an increasing attention from the research community. This intense research activity is due to the large interest raised by wireless nanocomponents in finding out appropriate solutions to critical problems in various strategic areas.…”

Section: Introductionmentioning

confidence: 99%

Enhanced clustering approach for traffic regulation in directional antennas based nanonetworks

Aliouat

Mabed

Bourgeois

2020

Proceedings of the 35th Annual ACM Symposium on Applied Computing

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Wireless NanoNetworks (WNN) are gaining an increasing interest and attracting many researchers from the networking community. This is due to the huge potential offered by nanodevices development. A WNN is formed by a high number of nanonodes utilizing specific properties of nanomaterials and nanoparticles to act at nanometer scale. However, the intrinsic limitations of nanonodes (energy, memory, communication range, and computation capacity), impose WNN protocols to be adapted to these stringent requirements.Furthermore, the extremely high density of nanonodes leads to congestion phenomena, requiring thorough traffic regulation mechanisms in order to reduce hindering radio signal collisions. Traffic regulation aims also to reduce valuable energy consumption. In this paper, we operate with Terahertz directional antennas in order to efficiently direct the radio signals towards the targeted area which significantly reduces interference. For regulating the exchanged messages, we propose a synchronous communication protocol based on a clustering approach where intra and inter cluster communications will be achieved respectively by a Time Division Multiple Access (TDMA) protocol, and a new distributed TDMA combined with Forwarding Dominate Nodes (FDN) protocol.Several scenarios have been carried out and the obtained simulation results show that our proposition significantly reduces both the number of collisions and the number of exchanged messages required to broadcast data from the nanonodes.

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Large scale MEMS robots cooperative map building based on realistic simulation of nano-wireless communications

Cited by 12 publications

References 14 publications

Robotic Wireless Sensor Networks

Robotic Wireless Sensor Networks

Enhancement and performance analysis of channel access mechanisms in Terahertz band

Enhanced clustering approach for traffic regulation in directional antennas based nanonetworks

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