Journal
IEEE ACCESS
Volume 7, Issue -, Pages 102295-102303Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2019.2931362
Keywords
Edge computing; energy conservation; IoT offload metrics; offload processing; resource-aware recommendation; offload-oriented mobile cloud
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Funding
- Research Promotion Foundation in Cyprus under the AAL Framework through the Ambient Assisted Living (AAL) Project vINCI: Clinically-validated Integrated Support for Assistive Care and Lifestyle Improvement: the Human Link [vINCI/P2P/AAL/0217/0016]
- National Science Centre, Poland, through the Context-Aware Adaptation Framework for eMBB Services in 5G Networks [2018/30/E/ST7/00413]
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This paper elaborates on alleviating the energy conservation problem in wireless devices operating under the Internet of Things (IoT) environments, by using machine-to-machine (M2M) communication mechanisms. Such IoT wireless terminals, such as wearables, smart glasses, and smart objects, are able to distress energy consumption levels of the IoT environments, playing a crucial role to the quality of service (QoS) or quality of experience (QoE) provision for end users under several high demand scenarios, while they are on the move. In this context, this paper proposes a new offload-aware recommendation scheme, towards allowing the effective monitoring of high energy consumption applications that run in the mobile devices of such IoT ecosystems. The proposed model enables mobile users having a nonstop provision of on-demand services, while such devices are able to provide the available required resources that are to be exploited in IoT environments. The proposed system model and the M2M offloading mechanisms and mathematical foundations, this paper exploits an edge-based communication mechanism, towards enabling resource-aware recommendation. The performance evaluation results validate the proposed approach, by assessing the provided model in the framework of the reliability provision for the IoT terminals under the use of the recommendation scheme, as well as the energy conservation provision for several mobile devices that are included in the IoT environment during the offloading procedure.
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