Efficient Simulation of Distributed Sensing and Control Environments

Dhoutaut, Dominique; Piranda, Benoît; Bourgeois, Julien

doi:10.1109/greencom-ithings-cpscom.2013.93

Cited by 22 publications

(21 citation statements)

References 17 publications

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“…We implemented E2ACE in C++ and evaluated it using VisibleSim [20], a simulator for modular robots. VisibleSim has been shown to accurately benchmark the performance of algorithms on the Blinky Blocks [13].…”

Section: Discussionmentioning

confidence: 99%

Approximate-Centroid Election in Large-Scale Distributed Embedded Systems

Naz

Piranda

Goldstein

et al. 2016

2016 IEEE 30th International Conference on Advanced Information Networking and Applications (AINA)

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Many distributed algorithms require a specific role to be played by a leader, a single node in the system. The choice of this node often has a direct impact on the performance. In particular, selecting a central node as the leader can significantly improve algorithm efficiency. Classical distributed algorithms require global information about the connectivity network to elect a centroid node. Thus, they are not suitable for large-scale distributed embedded systems with scarce computation, memory and energy resources. We present E2ACE, an Effective and Efficient ApproximateCentroid Election algorithm that uses O(1) memory space per node, O(d) time and O(mn 2 ) messages of size O(1), where n is the number of nodes, m the number of connections and d the diameter of the system. We evaluate our algorithm on the Blinky Blocks system using simulations. Experimental results show that E2ACE scales well in terms of accuracy, execution time and number of messages. We show that E2ACE is more accurate than the only existing algorithm with similar complexity results.

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Section: Discussionmentioning

confidence: 99%

Approximate-Centroid Election in Large-Scale Distributed Embedded Systems

Naz

Piranda

Goldstein

et al. 2016

2016 IEEE 30th International Conference on Advanced Information Networking and Applications (AINA)

Self Cite

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“…It is built to simulate intelligent communicating objects placed in a real 3D world and to handle various platforms, such as Blinky Blocks 6 and others similar. Simulations can scale up in numbers, and experiments show that VisibleSim can accurately and smoothly simulate 2 millions of nodes at a rate of 650k events/sec on a simple laptop [16]. The proposal is focused on efficient simulation of distributed sensing, and control environments can be categorized as IoT simulation, inasmuch as there is not Web technologies associated.…”

Section: Simulation Emulation and Prototype Environments Of The mentioning

confidence: 98%

A discrete-event simulator for the web of things from an information retrieval perspective

Manta-Caro

Fernández‐Luna

2014

2014 IEEE Latin-America Conference on Communications (LATINCOM)

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Simulators are an essential tool for researching and developing new systems, architectures or protocols. They have played a key role in the history of the Internet and the Web. This paper highlights the view that the simulation-based research will continue to take part in the evolution of paradigms associated with the Internet and the Web of Things. In this work, we present a simulator whose ultimate goal is to encapsulate the model and the expected dynamics of the Web of Things, for the development of Information Retrieval systems given the new evolutionary challenges to face. The simulation model is based on the automatic generation of a collection of XML documents, which contain spatio-temporal contexts and extensive textual information with highly dynamic dimensions. The simulator is characterized among other proposals for its flexibility and versatility to represent different real-world scenarios, constructed from entities with generic qualities and a unique perspective from information retrieval.

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“…While the previous simulation approaches were focusing on larger scale systems, [9] addresses IoT simulation from a completely different perspective. Sim-ulations in that paper are visual, allow the observation of the behavior of the simulated system in real time and are more similar to industrial modeling tools than the previously mentioned simulators.…”

Section: Related Workmentioning

confidence: 99%

Foundations for Simulating IoT Control Mechanisms with a Chemical Analogy

Kecskeméti

Németh

2016

Internet of Things. IoT Infrastructures

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Abstract. The emergence of IoT systems introduced new kind of challenges for the designers of such large scale highly distributed systems. The sheer number of participating devices raises a crucial question: how they can be coordinated. Engineers often opt for using a simulator to evaluate new approaches or scenarios in various environments. This raises the second crucial question: how such a large system can be simulated efficiently. Existing simulators (even if they are IoT focused) are often focused on some particular scenarios and not capable to evaluate coordination approaches. In this paper we propose a chemical coordination model and a new extension to the DISSECT-CF cloud simulator. We expect that their combination on one hand ensures a distributed adaptive coordination on the other hand allows the separation of simulation problems into manageable sizes; these enable the analysis of large scale IoT systems with decentralized coordination approaches.

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Efficient Simulation of Distributed Sensing and Control Environments

Cited by 22 publications

References 17 publications

Approximate-Centroid Election in Large-Scale Distributed Embedded Systems

Approximate-Centroid Election in Large-Scale Distributed Embedded Systems

A discrete-event simulator for the web of things from an information retrieval perspective

Foundations for Simulating IoT Control Mechanisms with a Chemical Analogy

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