Filling in the missing link between simulation and application in opportunistic networking

Sánchez-Carmona, Adrián; Guidec, Frédéric; Launay, Pascale; Mahéo, Yves; Robles, Sergi

doi:10.1016/j.jss.2018.04.025

Cited by 11 publications

(11 citation statements)

References 30 publications

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“…At the end of the first experiment, we obtained valuable data on the mobility of farming vehicles in actual conditions. These mobility data could be made available on a service such as CRAWDAD (https://crawdad.org/) and leveraged with simulation tools such as LEPTON [38] which is an emulation platform for opportunistic networking development. LEPTON allows the execution of functional code to run in an emulated environment under controlled and repeatable conditions, where only the mobility of nodes is simulated.…”

Section: Results Discussionmentioning

confidence: 99%

Contribution of the Web of Things and of the Opportunistic Computing to the Smart Agriculture: A Practical Experiment

Touseau

Sommer

2019

Future Internet

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With the emergence of the Internet of Things, environmental sensing has been gaining interest, promising to improve agricultural practices by facilitating decision-making based on gathered environmental data (i.e., weather forecasting, crop monitoring, and soil moisture sensing). Environmental sensing, and by extension what is referred to as precision or smart agriculture, pose new challenges, especially regarding the collection of environmental data in the presence of connectivity disruptions, their gathering, and their exploitation by end-users or by systems that must perform actions according to the values of those collected data. In this paper, we present a middleware platform for the Internet of Things that implements disruption tolerant opportunistic networking and computing techniques, and that makes it possible to expose and manage physical objects through Web-based protocols, standards and technologies, thus providing interoperability between objects and creating a Web of Things (WoT). This WoT-based opportunistic computing approach is backed up by a practical experiment whose outcomes are presented in this article.

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Section: Results Discussionmentioning

confidence: 99%

Contribution of the Web of Things and of the Opportunistic Computing to the Smart Agriculture: A Practical Experiment

Touseau

Sommer

2019

Future Internet

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“…Besides running on real mobile devices, DoDWAN can also be used with the LEPTON emulation platform [28]. With LEP-TON, many instances of an opportunistic networking system (DoDWAN in that case) can run concurrently on a single workstation (or on a cluster of workstations if needed), while the radio contacts between these virtual nodes are simulated by the emulation platform.…”

Section: Experimentationmentioning

confidence: 99%

Causal and Δ-causal broadcast in opportunistic networks

Guidec

Launay

Mahéo

2021

Future Generation Computer Systems

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Causal broadcast is a fundamental communication abstraction for many distributed applications. Several implementations of this abstraction have been proposed over the last decades for traditional networks, that is, networks that assume the existence of a continuous bi-directional end-to-end path between any pair of nodes. Opportunistic networks constitute a kind of networks in which this assumption cannot be made, though, so the implementation of causal broadcast in such networks must be addressed differently. This paper presents two algorithms based on causal barriers that can ensure the causally-ordered delivery of broadcast messages in an opportunistic network, considering both cases where the messages propagate in the network without or with a bounded lifetime. The latter case is especially interesting in networks that must run for a long time, or with a population of nodes that changes continuously.

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“…We describe in the following one of the experiments we conducted with the LEPTON emulation platform [8] in order to observe how our delta-state-based synchronization algorithmcan perform in realistic conditions.…”

Section: Experimentationmentioning

confidence: 99%

Delta-State-Based Synchronization of CRDTs in Opportunistic Networks

Guidec

Mahéo

Noûs³

2021

2021 IEEE 46th Conference on Local Computer Networks (LCN)

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Conflict-Free Replicated Data Types (CRDTs) are distributed data types that support optimistic replication: replicas can be updated locally, and updates propagate asynchronously among replicas, so consistency is eventually obtained. This ability to tolerate asynchronous communication makes them ideal candidates to serve as software building blocks in opportunistic networks (OppNets), that is, mobile networks in which the dissemination of information can only depend on unpredicted transient radio contacts between pairs of nodes. In this paper we investigate the problem of implementing CRDTs in an Opp-Net, and we propose a delta-state-based algorithm to solve this problem. Experimental results confirm that this algorithm ensures the synchronization of CRDT replicas in an OppNet, and that it outperforms a pure state-based synchronization algorithm when dealing with container CRDTs.

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Filling in the missing link between simulation and application in opportunistic networking

Cited by 11 publications

References 30 publications

Contribution of the Web of Things and of the Opportunistic Computing to the Smart Agriculture: A Practical Experiment

Contribution of the Web of Things and of the Opportunistic Computing to the Smart Agriculture: A Practical Experiment

Causal and Δ-causal broadcast in opportunistic networks

Delta-State-Based Synchronization of CRDTs in Opportunistic Networks

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