On Decentralized In-network Aggregation in Real-World Scenarios with Crowd Mobility

Gregorczyk, Michal; Pazurkiewicz, Tomasz; Iwanicki, Konrad

doi:10.1109/dcoss.2014.8

Cited by 5 publications

(2 citation statements)

References 26 publications

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“…Software quality assurance in sensornets is a multifaceted topic covering, among others, programming languages [Gay et al 2003], design patterns ], memory safety [Cooprider et al 2007], interface contracts ], automated design inference [Kothari et al 2008], integrated development environments [Burri et al 2006], and debugging tools [Iwanicki and van Steen 2007;Ramanathan et al 2005;Romer and Ma 2009;Whitehouse et al 2006;Yang et al 2007], to name just a few examples. In this article, however, we focus on testing.…”

Section: Related Workmentioning

confidence: 99%

Bringing Modern Unit Testing Techniques to Sensornets

Iwanicki

Horban

Glazar

et al. 2014

ACM Trans. Sen. Netw.

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Unit testing, an important facet of software quality assurance, is underappreciated by wireless sensor network (sensornet) developers. This is likely because our tools lag behind the rest of the computing field. As a remedy, we present a new framework that enables modern unit testing techniques in sensornets. Although the framework takes a holistic approach to unit testing, its novelty lies mainly in two aspects. First, to boost test development, it introduces embedded mock modules that automatically abstract out dependencies of tested code. Second, to automate test assessment, it provides embedded code coverage tools that identify untested control flow paths in the code. We demonstrate that in sensornets these features pose unique problems, solving which requires dedicated support from the compiler and operating system. However, the solutions have the potential to offer substantial benefits. In particular, they reduce the unit test development effort by a few factors compared to existing solutions. At the same time, they facilitate obtaining full code coverage, compared to merely 57-72% that can be achieved with integration tests. They also allow for intercepting and reporting many classes of runtime failures, thereby simplifying the diagnosis of software flaws. Finally, they enable fine-grained management of the quality of sensornet software.

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Section: Related Workmentioning

confidence: 99%

Bringing Modern Unit Testing Techniques to Sensornets

Iwanicki

Horban

Glazar

et al. 2014

ACM Trans. Sen. Netw.

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“…Being able to sense these modalities has allowed researchers to study real-world social interactions in workplaces or during conferences [4], [8], [9], to investigate techniques for identifying communities and groups of influence [18], [19], [20], or to analyze basic patterns in the behavior of crowds in physical spaces [2], [14], [21], even giving birth to a new field of science: Computational Social Science [22]. Finally, new decentralized algorithms for highly mobile networks, in particular, for opportunistic forwarding [23], in-network aggregation [24], and density estimation [25], have started being investigated to close the feedback loop in the futuristic quantified crowd applications.…”

Section: A Problem Statement and Related Workmentioning

confidence: 99%

An Experimental Platform for Quantified Crowd

Grabowski

Marschall

Sirko

et al. 2015

2015 24th International Conference on Computer Communication and Networks (ICCCN)

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Quantified crowd, a vision in which on-body sensors of nearby people collaborate to detect various phenomena within a crowd and produce feedback, is an emerging research area. One of the issues that impedes progress in this new area is a lack of a broadly applicable experimental platform, such as the platforms that enabled research on wireless sensor networks. In this paper, we aim to address this issue by presenting such an experimental hardware-software platform. Not only does the platform introduce custom badge-form low-power devices that feature a number of sensors relevant to quantified crowd, but it also ensures that these devices can interoperate with commercial off-the-shelf smartphones, wristbands, and other devices for selfquantification. In effect, it constitutes a powerful experimental instrument, as we show in a preliminary real-world evaluation.

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On Exploiting Logical Dependencies for Minimizing Additive Cost Metrics in Resource-Limited Crowdsensing

Shen

Yao

et al. 2015

2015 International Conference on Distributed Computing in Sensor Systems

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On Decentralized In-network Aggregation in Real-World Scenarios with Crowd Mobility

Cited by 5 publications

References 26 publications

Bringing Modern Unit Testing Techniques to Sensornets

Bringing Modern Unit Testing Techniques to Sensornets

An Experimental Platform for Quantified Crowd

On Exploiting Logical Dependencies for Minimizing Additive Cost Metrics in Resource-Limited Crowdsensing

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