energy harvesting
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2022 ◽  
Vol 8 ◽  
pp. 691-698
Kei Eguchi ◽  
Daigo Nakashima ◽  
Wanglok Do ◽  
Takaaki Ishibashi ◽  
Farzin Asadi

2022 ◽  
Vol 51 ◽  
pp. 101891
Xiaoyi Dai ◽  
Hao Wang ◽  
Hao Wu ◽  
YaJia Pan ◽  
Dabing Luo ◽  

2022 ◽  
Vol 50 ◽  
pp. 101757
Ede Mehta Wardhana ◽  
Hidemi Mutsuda ◽  
Yoshikazu Tanaka ◽  
Takuji Nakashima ◽  
Taiga Kanehira ◽  

2022 ◽  
Vol 166 ◽  
pp. 108419
Shitong Fang ◽  
Shengxi Zhou ◽  
Daniil Yurchenko ◽  
Tao Yang ◽  
Wei-Hsin Liao

2022 ◽  
Vol 18 (1) ◽  
pp. 1-34
Fan Yang ◽  
Ashok Samraj Thangarajan ◽  
Gowri Sankar Ramachandran ◽  
Wouter Joosen ◽  
Danny Hughes

Battery-free Internet-of-Things devices equipped with energy harvesting hold the promise of extended operational lifetime, reduced maintenance costs, and lower environmental impact. Despite this clear potential, it remains complex to develop applications that deliver sustainable operation in the face of variable energy availability and dynamic energy demands. This article aims to reduce this complexity by introducing AsTAR, an energy-aware task scheduler that automatically adapts task execution rates to match available environmental energy. AsTAR enables the developer to prioritize tasks based upon their importance, energy consumption, or a weighted combination thereof. In contrast to prior approaches, AsTAR is autonomous and self-adaptive, requiring no a priori modeling of the environment or hardware platforms. We evaluate AsTAR based on its capability to efficiently deliver sustainable operation for multiple tasks on heterogeneous platforms under dynamic environmental conditions. Our evaluation shows that (1) comparing to conventional approaches, AsTAR guarantees Sustainability by maintaining a user-defined optimum level of charge, and (2) AsTAR reacts quickly to environmental and platform changes, and achieves Efficiency by allocating all the surplus resources following the developer-specified task priorities. (3) Last, the benefits of AsTAR are achieved with minimal performance overhead in terms of memory, computation, and energy.

2022 ◽  
Vol 157 ◽  
pp. 112046
Mati-ur-Rasool Ashraf Virk ◽  
Muhammad Faizan Mysorewala ◽  
Lahouari Cheded ◽  
AbdulRahman Aliyu

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