Abstract
Wireless Sensor Networks (WSNs) are prone to highly constrained resources, as a result ensuring the proper functioning of the network is a requirement. Therefore, an effective WSN management system has to be integrated for the network efficiency. Our objective is to model, design, and propose a homogeneous WSN hybrid architecture. This work features a dedicated power utilization optimization strategy specifically for WSNs application. It is entitled Hybrid Energy-Efficient Power manager Scheduling (HEEPS). The pillars of this strategy are based on the one hand on time-out Dynamic Power Management (DPM) Intertask and on the other hand on Dynamic Voltage and Frequency Scaling (DVFS). All tasks are scheduled under Global Earliest Deadline First (GEDF) with new scheduling tests to overcome the Dhall effect. To minimize the energy consumption, the HEEPS predicts, defines and models the behavior adapted to each sensor node, as well as the associated energy management mechanism. HEEPS’s performance evaluation and analysis are performed using the STORM simulator. A comparison to the results obtained with the various state of the art approaches is presented. Results show that the power manager proposed effectively schedules tasks to use dynamically the available energy estimated gain up to 50%.
Highlights
Accepted: 16 December 2021Wireless Sensor Networks (WSNs) set a very real benchmark for the Internet of Things (IoT) by using the recent technologies to optimize communication and safety systems in hazardous environments [1,2,3]
Thanks to the advantages offered by these technologies, in particular, collecting data in real time with a low cost, WSNs are gaining popularity in several fields of applications such as tele-surgery, intelligent transportation, smart home, industrial control, business sector, virtual reality, law enforcement [4,5,6]
Hybrid Energy-Efficient Power manager Scheduling (HEEPS) crosses over Dynamic Power Management (DPM), Dynamic Voltage and Frequency Scaling (DVFS), and Global Earliest Deadline First (GEDF) to achieve better energy savings
Summary
Wireless Sensor Networks (WSNs) set a very real benchmark for the Internet of Things (IoT) by using the recent technologies to optimize communication and safety systems in hazardous environments [1,2,3]. Thanks to the advantages offered by these technologies, in particular, collecting data in real time with a low cost, WSNs are gaining popularity in several fields of applications such as tele-surgery, intelligent transportation, smart home, industrial control, business sector, virtual reality, law enforcement [4,5,6]. The cost-effectiveness and energy efficiency could still pose great research challenges in the coming years. The exponential complexity of the applications creates a technological gap with the precariousness of the amount of energy available in the sensor nodes. Energy savings can be achieved by using a Published: 31 December 2021
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