ARES: Reliable and Sustainable Edge Provisioning for Wireless Sensor Networks

Aral, Atakan; Demaio, Vincenzo; Brandić, Ivona

doi:10.1109/tsusc.2021.3049850

Cited by 11 publications

(2 citation statements)

References 51 publications

(65 reference statements)

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“…However, it is difficult to determine the correct weights to achieve the best solution. To this end, instead of finding a Pareto-optimal solution for all identified objectives, we perform a multi-stage optimization, similar to [50]. In this class of approaches, first, an optimal solution for a specific objective is found.…”

Section: Multi-objective and Multi-node Sensor Placementmentioning

confidence: 99%

Sustainable Environmental Monitoring via Energy and Information Efficient Multinode Placement

Ahmad

Uyanık

Ovatman

et al. 2023

IEEE Internet Things J.

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The Internet of Things is gaining traction for sensing and monitoring outdoor environments such as water bodies, forests, or agricultural lands. Sustainable deployment of sensors for environmental sampling is a challenging task because of the spatial and temporal variation of the environmental attributes to be monitored, the lack of the infrastructure to power the sensors for uninterrupted monitoring, and the large continuous target environment despite the sparse and limited sampling locations. In this paper, we present an environment monitoring framework that deploys a network of sensors and gateways connected through low-power, long-range networking to perform reliable data collection. The three objectives correspond to the optimization of information quality, communication capacity, and sustainability. Therefore, the proposed environment monitoring framework consists of three main components: (i) to maximize the information collected, we propose an optimal sensor placement method based on QR decomposition that deploys sensors at information-and communication-critical locations; (ii) to facilitate the transfer of big streaming data and alleviate the network bottleneck caused by low bandwidth, we develop a gateway configuration method with the aim to reduce the deployment and communication costs; and (iii) to allow sustainable environmental monitoring, an energy-aware optimization component is introduced. We validate our method by presenting a case study for monitoring the water quality of the Ergene River in Turkey. Detailed experiments subject to real-world data show that the proposed method is both accurate and efficient in monitoring a large environment and catching up with dynamic changes.

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Section: Multi-objective and Multi-node Sensor Placementmentioning

confidence: 99%

Sustainable Environmental Monitoring via Energy and Information Efficient Multinode Placement

Ahmad

Uyanık

Ovatman

et al. 2023

IEEE Internet Things J.

Self Cite

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“…Aral et al [4] propose ARES, a two-stage optimization algorithm for sustainable and reliable deployment of edge nodes in urban environments. ARES identifies an initial set of Pareto-optimal candidate solutions with respect to transmission time and energy, and then, it uses a dynamic Bayesian network-based reliability model to obtain a solution that guarantees the desired level of reliability.…”

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confidence: 99%