Energy-efficient Design of Wireless Sensor Mote using Mobile-Edge Computing and Novel scheduling mechanism for self-sustainable Next-gen Cyber Physical System

Abstract

The recent developments in the field of Internet of Things (IoT) has opened up vast prospects for design, development and deployment of Next-generation Cyber Physical System (NG-CPS). The proposed NG-CPS would have advanced features and functionalities to be future ready for inter-connecting physical-realm with cyber-realm. The vision is to achieve intelligent next-gen IoT-based system by harnessing all key technology enablers like modern low-power and smarter embedded system with support for 5G/6G and beyond wireless network integration to conventional CPS with better and smarter algorithms. In this paper, we have proposed an Energy-efficient self-sustainable wireless sensor mote design for such envisioned NG-CPS. The idea is to split the computational framework of NG-CPS using a Mobile Edge Computing (MEC). Instead of sending real-time raw sensor data to cloud, a Store-Process-Then-Forward (SPTF) mechanism is implemented on Edge device to reduce the wireless trans-receiver duty-cycle hence reducing the energy requirement of sensor mote. Additionally, integrating a solar powered energy harvester to make the wireless sensor mote completely self-reliance in energy requirement. The proposed novel algorithm is validated with help of hardware prototyping and the results shows 720 Joules of energy saving with a consumption of only 700 mW considering 80% power efficiency.