The ONE-SAPERE Simulator: A Prototyping Tool for Engineering Self-Organisation in Pervasive Environments

Fernandez-Marquez, Jose Luis; Angelis, Francesco Luca De; Serugendo, Giovanna Di Marzo; Stevenson, Graeme; Castelli, Gabriella

doi:10.1109/saso.2014.44

Cited by 10 publications

(6 citation statements)

References 8 publications

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“…The core idea of this process is to use the xor operation to ensure that the two meeting nodes can obtain data information that they did not have before. For the Epidemic algorithm, when the network bandwidth, cache capacity, and other resources of the node are sufficient, the transmission delay can be greatly reduced while ensuring a successful propagation rate [20]. This algorithm seems to solve the problem of transmission success rate and transmission delay, but it has an obvious fatal flaw that is that with the increase of network nodes, it is easy to cause network congestion.…”

Section: Related Workmentioning

confidence: 99%

Effective path prediction and data transmission in opportunistic social networks

Zou

Long

2021

IET Communications

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With the development of social media, social networks have become an important platform for people to share and communicate. In social network communication, when people carry mobile devices for data transmission, they need to find a definite transmission destination to ensure the normal conduct of information exchange activities. This is manifested in the process of data transmission by nodes, which requires analysis and judgment of surrounding areas, and finds suitable nodes for effective data classification and transmission. However, the node cache space in social networks is limited, and the process of waiting for the target node will cause end-to-end transmission delay. In order to improve such a transmission environment, this paper proposes a node trajectory prediction method named EDPPM algorithm. The EDPPM algorithm guarantees that nodes with high probability are given priority to obtain data information, which realized an effective data transmission mechanism. Through experiments and comparison of opportunistic transmission algorithms in social networks, such as Epidemic algorithm, Spray and Wait algorithm, and PRoPHET algorithm, the proposed scheme outperforms ProPhet by 47% in terms of cache utilization of nodes, 55% in terms of data transmission delay, and 32% in terms of network efficiency; compared with Epidemic by 53% in terms of cache utilization of nodes, 62% in terms of data transmission delay, and 47% in terms of network efficiency; same thing with regard to the Spray and wait by 27% in terms of cache utilization of nodes, 31% in terms of data transmission delay, and 17% in terms of network efficiency.This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Section: Related Workmentioning

confidence: 99%

Effective path prediction and data transmission in opportunistic social networks

Zou

Long

2021

IET Communications

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“…TheOne-SAPERE. TheOne-SAPERE is a prototyping tool [20] that integrates the SAPERE middleware within The Opportunistic Network Environment (The One) simulator [24], allowing us to prototype and validate applications with realistic scenarios before deploying them. Indeed, it allows on the one hand to simulate a large number of computational nodes movements and their communications, placing them in various configurations allowing stochastic evaluation of parameters.…”

Section: Prototyping Platformsmentioning

confidence: 99%

Spatial Edge Services - From Coordination Model to Actual Applications

Serugendo¹

2017

Lecture Notes in Computer Science

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Ubiquitous and context-aware sensors are increasing in number and aim at providing comfort and better life quality. They are spatially distributed and their computation capacity is still under-exploited. Spatial Edge Service are a new generation of services exploiting IoT and spatially distributed data. They result from collective and decentralised interactions of multiple computing entities. They rely on a logic and chemical-based coordination model. Spatial edge services provide innovation capabilities for the software industry, connected objects manufacturers and edge computing industry. This paper provides and overview of Spatial Edge Services, their underlying coordination model, a set of development tools, a series of case studies scenarios and future visions.

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“…This simulator permitted research in other directions. For instance, extended the ONE simulator in order to support self‐organization methods in pervasive environments. This new simulator for instance directly supports Global Positioning System (GPS) traces.…”

Section: Related Workmentioning

confidence: 99%

A simulator for opportunistic networks

Chilipirea

Petre

Dobre

et al. 2016

Concurrency and Computation

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Summary When mobile devices involved in a communication process are unable to establish a direct connection, or when communication should be offloaded to cope with large throughputs, mobile collaboration can be used to enable communication through opportunistic networks. These types of networks are formed when mobile devices communicate only using short‐range transmission protocols, usually when users are close. Routes are built dynamically, because each mobile device is acting according to the store‐carry‐and‐forward paradigm. Thus, contacts are seen as opportunities to move data towards the destination. In such networks, the routing protocol is of vital importance, and today, we witness quite a number of routing algorithms that have been proposed to maximize the success rate of message delivery whilst minimizing the communication cost. Such protocols take advantage of the devices history of contacts, or information about users carrying the mobile devices, to make their forwarding decision. This paper extends our previous work with the following: First, we describe a new simplified, fast simulator, designed to minimize the work needed to conduct extensive tests for opportunistic routing algorithm on multiple traces; next, we analyze extensively several of the most popular routing algorithms through extensive simulations conducted using our simulation platform. We highlight their pros and cons in different scenarios, considering different real‐world mobility data traces, such as Global Positioning System traces. The raw Global Positioning System traces are converted to a format based on encounters between participating entities. Copyright © 2016 John Wiley & Sons, Ltd.

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The ONE-SAPERE Simulator: A Prototyping Tool for Engineering Self-Organisation in Pervasive Environments

Cited by 10 publications

References 8 publications

Effective path prediction and data transmission in opportunistic social networks

Effective path prediction and data transmission in opportunistic social networks

Spatial Edge Services - From Coordination Model to Actual Applications

A simulator for opportunistic networks

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