The impact of decreasing transmit power levels on FlockLab to achieve a sparse network

Bradbury, Matthew; Jhumka, Arshad; Maple, Carsten

doi:10.1145/3312480.3313171

Cited by 2 publications

(3 citation statements)

References 13 publications

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“…Our goal was to characterize the wireless links in such settings, taking into account radio parameters such as the packet size or the communication channel frequency, as well as environment properties such as its topography. Another parameter which may have an impact on the radio link properties, but not investigated in this study, is the transmission power [29].…”

Section: Literature Reviewmentioning

confidence: 99%

Ground Level Deployment of Wireless Sensor Networks: Experiments, Evaluation and Engineering Insight

Komguem

Stanica

Tchuenté

et al. 2019

Sensors

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In this paper, we are interested in characterizing the link properties of a wireless sensor network with nodes deployed at ground level. Such a deployment is fairly common in practice, e.g., when monitoring the vehicular traffic on a road segment or the status of infrastructures such as bridges, tunnels or dams. However, the behavior of off-the-shelf wireless sensor nodes in these settings is not yet completely understood. Through a thorough experimentation campaign, we evaluated not only the impact of the ground proximity on the wireless links, but also the impact of some parameters such as the packet payload, the communication channel frequency and the topography of the deployment area. Our results show that a ground-level deployment has a significant negative impact on the link quality, while parameters such as the packet size produce unexpected consequences. This allows us to parameter classical theoretical models in order to fit a ground-level deployment scenario. Finally, based on the lessons learned in our field tests, we discuss some considerations that must be taken into account during the design of communication protocols and before the sensor deployment in order to improve network performance.

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Section: Literature Reviewmentioning

confidence: 99%

Ground Level Deployment of Wireless Sensor Networks: Experiments, Evaluation and Engineering Insight

Komguem

Stanica

Tchuenté

et al. 2019

Sensors

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“…. FlockLab topology labelled with the probability of receiving a message along a directional link[7].…”

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confidence: 99%

“…Power consumption could be calculated by multiplying the current draw by the expected voltage of 3.3 V supplied to the sensor nodes. However, as FlockLab does not log the voltage along with the current draw we cannot be sure of the voltage and therefore power consumption at a specific time[7]. ACM Trans.…”

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confidence: 99%

A Spatial Source Location Privacy-aware Duty Cycle for Internet of Things Sensor Networks

Bradbury

Jhumka

Maple

2021

ACM Trans. Internet Things

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Source Location Privacy (SLP) is an important property for monitoring assets in privacy-critical sensor network and Internet of Things applications. Many SLP-aware routing techniques exist, with most striking a tradeoff between SLP and other key metrics such as energy (due to battery power). Typically, the number of messages sent has been used as a proxy for the energy consumed. Existing work (for SLP against a local attacker) does not consider the impact of sleeping via duty cycling to reduce the energy cost of an SLP-aware routing protocol. Therefore, two main challenges exist: (i) how to achieve a low duty cycle without loss of control messages that configure the SLP protocol and (ii) how to achieve high SLP without requiring a long time spent awake. In this article, we present a novel formalisation of a duty cycling protocol as a transformation process. Using derived transformation rules, we present the first duty cycling protocol for an SLP-aware routing protocol for a local eavesdropping attacker . Simulation results on grids demonstrate a duty cycle of 10%, while only increasing the capture ratio of the source by 3 percentage points, and testbed experiments on FlockLab demonstrate an 80% reduction in the average current draw.

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The impact of decreasing transmit power levels on FlockLab to achieve a sparse network

Cited by 2 publications

References 13 publications

Ground Level Deployment of Wireless Sensor Networks: Experiments, Evaluation and Engineering Insight

Ground Level Deployment of Wireless Sensor Networks: Experiments, Evaluation and Engineering Insight

A Spatial Source Location Privacy-aware Duty Cycle for Internet of Things Sensor Networks

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