Adaptive Topology Reconstruction Mechanism considering Routing Hop and Battery Consumption for Computing Offloading of IoT
Hyun-Woo Kim1, Eun-Ha Song2
1Hyun-Woo Kim, Professor, Department of Information Security, Baewha Women’s University, Seoul, Republic of Korea, East Asian.
2Eun-Ha Song, Corresponding Author, Professor, Collage of Convergence & Liberal Arts, Wonkwang University, Iksan, Jeonbuk, Republic of Korea, East Asian.
Manuscript received on 10 June 2019 | Revised Manuscript received on 17 June 2019 | Manuscript Published on 22 June 2019 | PP: 789-793 | Volume-8 Issue-8S2 June 2019 | Retrieval Number: H11320688S219/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In this paper, we propose ATRM which handles computing offloading considering routing hops connected in IoT topology environment. ATRM measures battery consumption of other connected devices to computing offloading computational tasks that are difficult to handle in a single device in an IoT environment. In addition, the lower connected routing device is changed dynamically considering the number of routing hops. In the past, studies have been conducted on computing resources such as CPU, memory, and storage, which are dynamic performance of IoT devices, for computing offloading in the IoT environment, or using external resources according to arbitrarily set computing offloading weights. There is a lack of research on distributed processing. High-throughput computing is possible by reconfiguring according to the routing hop of the lower connected IoT device. In this paper, it is possible to set thresholds for arbitrary routing hops and battery consumption of connected IoT devices for computing offloading. This improves IoT topology lifetime and enables many computing offloading processes.
Keywords: Adaptive Topology Reconstruction, Internet of Things, IoT Topology, Routing Hop, Computing Offloading.
Scope of the Article: Computational Economics, Digital Photogrammetric