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Communication Dans Un Congrès Année : 2022

Leveraging Predictability for Global Optimization of IoT Networks

Résumé

We consider IoT networks where nodes are able to move to change the network topology and improve area coverage and network performance. We focus on the problem of global optimization where the nodes make use of the predictability of circumstances that affect network operations, such as the communication and sensing ranges, to anticipate future actions that need to be taken so that the correct operation of the network continues to be guaranteed with a minimum global cost. We provide a Mixed Integer Quadratic Program (MIQP)-based solution that minimizes the overall energy consumed over the entire deployment period while maintaining network connectivity and full area coverage. Results show that significant performance enhancement can be obtained when taking predictability into account compared to the case where nodes make decisions based only on their current observations.
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Dates et versions

hal-03904118 , version 1 (16-12-2022)

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Citer

Djawhara Benchaira, Okba Tibermacine, Walid Bechkit, Abdelmalik Bachir. Leveraging Predictability for Global Optimization of IoT Networks. ICC 2022 - IEEE International Conference on Communications, May 2022, Seoul, South Korea. pp.3586-3591, ⟨10.1109/ICC45855.2022.9838916⟩. ⟨hal-03904118⟩
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