A Collaborative Energy Optimization Routing Metric for IoT Network over Smart City

Baz, Mohammed

doi:10.1109/cais.2018.8441953

Cited by 5 publications

(2 citation statements)

References 16 publications

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“…web conference, online office , remote working, and email are reducing the emission and sustaining the energy resources (Papagiannidis, Harris, & Morton, 2020;Papagiannidis & Marikyan, 2020). The digital transformation in energy sector by regulating the electric network and avoiding the fluctuation through ICT devices IOT and Cloud computing may substantially minimize the power consumption (Das, Chanda, & De, 2020), smart interconnection of power grid may safer the operation (Mohammadi, Safdarian, Mehrtash, & Kargarian, 2018), the efficient smart power grid based on IOT (internet of Thing) energy management framework control the energy balance with minimal cost (Golpîra & Bahramara, 2020), in smart cities IOT network can control the energy efficiently (Baz, 2018). Caglar et al (2021) inquired the association between ICT, economic growth, nonrenewable energy consumption and ecological footprint in top ten polluting economies over the period 1990-2017, using PMG-ARDL method , and investigated that ICT penetration and activities enhance the ecological footprint in these top polluting economies.…”

Section: Literature Review 21 Nexus Between Icts and Environmental Su...mentioning

confidence: 99%

Digital Transformation, Institutional Quality, and Environmental Sustainability: Evidence from SAARC Countries

Rehman

Gill

2023

iRASD J. Eco.

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The ecological changes i.e., global warming and climate change is uprising the apprehensions regarding environment degradation in the developing economies. The consequences of carbon emission and ecological deficit are not only problematic for one country but these are affecting the whole region. Therefore, this study assesses the influence of ICT-enabled digital transformation, IQ (institutional quality), energy consumption, and economic growth on the ecological footprint under the framework of EKC (Environment Kuznets Curve) in the South Asian Association for Regional Cooperation, (SAARC) economies over 1990 to 2018. Additionally, this analysis estimates the interaction term effect (ICT*IQ) on environment sustainability. We employed cross-section dependence (CD), second generation panel unit root (CIPS &CADF), and Wasteland’s cointegration econometric techniques. Further, the long and short run estimate concluded though PMG estimator. The PMG-ARDL results exhibited that ICT individual and combine impact lessen the environmental degradation. Moreover, the empirical results validate EKC hypothesis SAARC economies. But, institutional quality, economic growth (GDP) and energy consumption intensify environmental degradation by increasing the ecological footprint. The empirical estimates propose that ICT- enabled digital transformation innovation, diffusion and utilization in institutional framework can achieve the SDGs goals of environmental sustainability.

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Section: Literature Review 21 Nexus Between Icts and Environmental Su...mentioning

confidence: 99%

Digital Transformation, Institutional Quality, and Environmental Sustainability: Evidence from SAARC Countries

Rehman

Gill

2023

iRASD J. Eco.

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“…(AR/VR) [5]- [7], automatic driving, industrial Internet, vehicle networking, smart cities, and smart agriculture [8], [9]. Therefore, a novel network framework and corresponding resource management scheme are urgently required to take on the rapid development in technology that is currently observed [10].…”

Section: Introductionmentioning

confidence: 99%

Joint Communication and Computation Resource Optimization in FD-MEC Cellular Networks

Chen

Wang

et al. 2019

IEEE Access

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In view of the growing contradiction between the intensive computation demands and the resource limitations of mobile users, mobile edge computing (MEC) and simultaneous wireless information and power transfer (SWIPT) have emerged as new paradigms towards 5G communication. However, coordinating the communication and computation between users and edge servers proves to be challenging for MEC. In this paper, we propose a novel multiuser full-duplex (FD) communication system that combines MEC and SWIPT technology in order to take the advantage of high-speed mobile computing and long-lasting self-sustainability. Through MEC technology, users are able to calculate local computation tasks using their batteries, and can offload partial computation tasks to the base station (BS) to reduce their energy shortage. Moreover, users can refill their batteries while receiving the computation result sent by the BS, thus benefiting from SWIPT technology. The FD mode can potentially increase the system performance by allowing the simultaneous transmitting and receiving of computation tasks. Our work aims to minimize the energy consumption of the system, while formulating resource allocation as a joint non-linear optimization problem. We decouple the original non-convex problem into two subproblems and solve them using a proposed algorithm that applies group iterative optimization. Numerical results prove that the proposed algorithm is superior to other two comparison schemes and can significantly reduce the system energy consumption and the latency. INDEX TERMS Full-duplex, mobile edge computing, offload, simultaneous wireless information and power transfer, group iterative optimization. FANGNI CHEN received the B.S. degree in communication engineering and the Ph.D. degree in information and communication engineering from Zhejiang University, China, in 2003 and 2008, respectively.

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Design and analysis of RPL objective functions using variant routing metrics for IoT applications

Solapure

Kenchannavar²

2020

Wireless Netw

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A Collaborative Energy Optimization Routing Metric for IoT Network over Smart City

Cited by 5 publications

References 16 publications

Digital Transformation, Institutional Quality, and Environmental Sustainability: Evidence from SAARC Countries

Digital Transformation, Institutional Quality, and Environmental Sustainability: Evidence from SAARC Countries

Joint Communication and Computation Resource Optimization in FD-MEC Cellular Networks

Design and analysis of RPL objective functions using variant routing metrics for IoT applications

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