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Energy-Efficient Boundary Detection for Continuous Objects in Collaborative Edge Networks
2021
IEEE Access
Along with a large and increasing number of resource-constrained and battery-powered smart things being deployed in networks, an energy-efficient mechanism for continuous object boundary detection is fundamental for prolonging the network lifetime. Most of the existing studies focus on how to improve the boundary accuracy of continuous objects while ignoring the energy consumption of smart things in edge networks, which may lead to some smart things being in an unusable state. To address this
doi:10.1109/access.2021.3115822
fatcat:mfoapao2rvc5tmpqzyzqug4a44