Optimizing Lifetime of Internet-of-Things Networks with Dynamic Scanning

Seung-Kyu Choi, Woo Hyun Kim and Illsoo Sohn ()
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Seung-Kyu Choi: Department of Computer Science and Engineering, Seoul National University of Science and Technology, Seoul 01811, Republic of Korea
Woo Hyun Kim: Department of Computer Science and Engineering, Seoul National University of Science and Technology, Seoul 01811, Republic of Korea
Illsoo Sohn: Department of Computer Science and Engineering, Seoul National University of Science and Technology, Seoul 01811, Republic of Korea

Mathematics, 2023, vol. 11, issue 23, 1-16

Abstract: With the development of Internet-of-Things (IoT) technology, industries such as smart agriculture, smart health, smart buildings, and smart cities are attracting attention. As a core wireless communication technology, Bluetooth Low Energy (BLE) is gaining a lot of interest as a highly reliable low-power communication technology. In particular, BLE enables a connectionless mesh network that propagates data in a flooding manner using advertising channels. In this paper, we aim to optimize the energy consumption of the network by minimizing the scanning time while preserving the reliability of the network. Maximizing network lifetime requires various optimizing algorithms, including exhaustive searching and gradient descent searching. However, they are involved with excessive computational complexity and high implementation costs. To reduce computational complexity of network optimization, we mathematically model the energy consumption of BLE networks and formulate maximizing network lifetime as an optimization problem. We first present an analytical approach to solve the optimization problem and show that finding the minima from the complicated objective function of the optimization problem does not guarantee a valid solution to the problem. As a low-complexity solution, we approximate the complicated objective function into a convex form and derive a closed-form expression of the suboptimal solution. Our simulation results show that the proposed suboptimal solution provides almost equivalent performance compared to the optimal solution in terms of network lifetime. With very low computational complexity, the proposed suboptimal solution can extensively reduce implementation costs.

Keywords: Internet-of-Things; Bluetooth Low Energy; connectionless communication; mesh network; optimization; network lifetime (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2023
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