Energy Allocation Strategy of Earthquake Monitoring Wireless Sensor Network Based on Longitude and Latitude Coding and Differential Evolution Algorithm

Liu, Jimin; Ge, Xin; Wen, LongRi; Zhao, Huiqi; Zhuo, Jianye; Dong, Xueyu

doi:10.1109/prai55851.2022.9904186

Cited by 1 publication

(1 citation statement)

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“…Two emerging technologies in wireless network, LoRa and Message Queue Telemetry Transport (MQTT), was used in the system to reduce latency and packet delivery ratio. The authors of [20] designed an energy consumption scheduling scheme based on longitude and latitude coding algorithm and differential evolution algorithm to reduce overall energy consumption of wireless sensor network in the process of earthquake monitoring. In order to improve the utilization rate of network resources, they formed three-layer network architecture by building intermediate service layer to connect sensor nodes and sink nodes.…”

Section: Wireless Network In Earthquakesmentioning

confidence: 99%

Seismic Data Query Algorithm Based on Edge Computing

Quan

Zhang

et al. 2023

Electronics

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Edge computing can reduce the transmission pressure of wireless networks in earthquakes by pushing computing functionalities to network edges and avoiding the data transmission to cloud servers. However, this also leads to the scattered storage of data content in each edge server, increasing the difficulty of content search. This paper investigates the seismic data query problem supported by edge computing. We first design a lookup mechanism based on bloom filter, which can quickly determine if there is the information that we need on a particular edge server. Then, the MEC-based data query problem is formulated as an optimization problem whose goal is to minimize the long-term average task delay with the constraints of computing capacity of edge servers. To reduce the complexity of problem, we further transform it as a Markov Decision Process by defining state space, action space and reward function. A novel DQN-based seismic data query algorithm is proposed to solve problem effectively. Extensive simulation-based testing shows that the proposed algorithm performances better when compared with two state-of-the-art solutions.

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Section: Wireless Network In Earthquakesmentioning

confidence: 99%