Distributed Intelligent MEMS: Progresses and Perspectives

Bourgeois, Julien; Goldstein, Seth Copen

doi:10.1109/jsyst.2013.2281124

Cited by 37 publications

(22 citation statements)

References 67 publications

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“…Wang et al presented a wireless wearable sensing device based on MEMS for next-generation sports training [19]. The future of the MEMS sensors is to incorporate embedded intelligence [11,20], where the millions of units in MEMS systems could work together to finish a common task. Furthermore, the scalability of the system could be enabled.…”

Section: Related Workmentioning

confidence: 99%

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A Smart Microcontroller Architecture for the Internet of Things

Qiu

Zhang

2020

Sensors

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The interoperations of endpoint devices are generally achieved by gateways in Internet of Things (IoT) systems. However, the gateways mainly focus on networking communication, which is lack of data logic control capabilities. The microcontrollers with embedded intelligence could work as an intermediate device to help the interconnections of the endpoint devices. Moreover, they could help control the endpoint devices. In this paper, a microcontroller architecture with intelligent and scalable characteristics is proposed. The intelligence means that the microcontroller could control the target endpoint devices by its logical circuits, and the scalability means that the microcontroller architecture could be easily extended to deal with more complex problems. Two real world industrial implementations of the proposed architecture are introduced. The implementations show that the microcontroller is important to provide the intelligent services to users in IoT systems. Furthermore, a simulation experiment based on the cloud model is designed to evaluate the proposed method. The experimental results demonstrate the effectiveness of the proposed architecture.

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Section: Related Workmentioning

confidence: 99%

“…Therefore, it has been widely applied in sensors [9,10]. Recently, embedded intelligence has been added to sensors for more efficient collaboration [11].…”

Section: Introductionmentioning

confidence: 99%

A Smart Microcontroller Architecture for the Internet of Things

Qiu

Zhang

2020

Sensors

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“…The problem of self-reconfiguration is a challenge in robotics applications. Control in systems of microrobots involves the coordination and cooperation of large numbers of identical modules connected in a volatile manner over time [15], [16].…”

Section: Introductionmentioning

confidence: 99%

On the mapless reconfiguration for modular robots: Results and future directions

Lakhlef

Bourgeois

2015

2015 IEEE International Conference on Robotics and Biomimetics (ROBIO)

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Modular robots represent a major technological challenges in the last decades because of expectations on their massive use in our lifetime, particularly in order to improve the well-being of people. Indeed, modular robots are gaining increasing attention due to their use in various missions and tasks in a wide range of applications, including location, the fight against fires, medical services, surveillance and security, and search and rescue. They can perform tasks in unstructured environments, complex, dynamic and unknown. To carry out these missions robots must apply reconfiguration protocols to adapt to working conditions. These reconfiguration protocols must deal with the limitations of nodes including those relating to memory and energy resources. Also, these algorithms should be effective, scalable, secure and robust, using only local information. In this paper, we provide a review on the recent protocols that achieve the self-reconfigurations without predefined positions of the target shape.Modular robots, reconfiguration, MEMS, Mapless.

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“…Microrobots systems have a wide range of applications such as odor localization, firefighting, medical service, surveillance, search, rescue, and security. To do these tasks the nodes have to perform the self-reconfiguration [3], [18].…”

Section: Introductionmentioning

confidence: 99%

Dynamicity to Save Energy in Microrobots Reconfiguration

Lakhlef

Mabed

Bourgeois

2013

2013 IEEE 10th International Conference on Ubiquitous Intelligence and Computing and 2013 IEEE 10th International Conference On

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In this paper we present a dynamic selfreconfiguration protocol for MEMS microrobots. The protocol presented in this paper is without map of the target shape which makes it efficient and scalable. In other words, nodes do not store the positions that build the target shape. Consequently, memory usage for each node is reduced to a constant complexity. An algorithm of self-reconfiguration is deeply studied showing how to manage the dynamicity (wake up and sleep of microrobots) of the network to save energy. Our algorithm is implemented in Meld, a declarative language, and executed in a real environment simulator called DPRSim.

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Distributed Intelligent MEMS: Progresses and Perspectives

Cited by 37 publications

References 67 publications

A Smart Microcontroller Architecture for the Internet of Things

A Smart Microcontroller Architecture for the Internet of Things

On the mapless reconfiguration for modular robots: Results and future directions

Dynamicity to Save Energy in Microrobots Reconfiguration

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