Abstract
Energy safe is mandatory for all isolated IoT tools, such as in long way roads, mountains, or even in smart cities. If increasing the lifetime of these tools, the rentability of the global network loop becomes more efficient. Therefore, this paper presents a new approach for saving energy inside the source nodes by supervising the state of energy inside each source node and calculating the duty cycle factor. The relationship between these parameters is based on an optimization problem formulation. In this respect, the present paper is designed to propose a new approach that deals with increasing the lifetime of the wireless sensor network (WSN)-attached nodes, as fixed in the application. The newly devised design is based on implementing the IEEE 802.15.4 standard beacon-enabled mode, involving a cluster tree topology. Accordingly, every subgroup is allotted to apply a specifically different duty cycle, depending on the battery’s remaining energy level, which contributes to creating a wide range of functional modes. Hence, various thresholds are defined. Simulation results prove the efficiency of the proposed approach and show the energetic benefit. The proposed flowchart has minimized the consumed energy for the WSN, which improves the battery lifetime and enhances the IoT application’s robustness. Simulations and experiments have been carried out under different conditions and the results prove that the proposed method is a viable solution.
Highlights
With the advent of the Internet of Things (IoT) [1,2,3,4], wireless sensor networks (WSNs) are increasingly used in various applications for various fields, such as healthcare, smart buildings, agricultural management, assisted living, industrial surveillance, and warehouse management [5,6,7].Wireless sensor networks (WSNs) are formed by many small devices called sensor nodes that detect environmental parameters and route them to a central base station.Batteries power the sensor nodes
Simulations and experiments have been carried out under different conditions and the results prove that the proposed method is a viable solution
Energy conservation approaches are required at the Media Access Control (MAC) layer in the IEEE
Summary
With the advent of the Internet of Things (IoT) [1,2,3,4], wireless sensor networks (WSNs) are increasingly used in various applications for various fields, such as healthcare, smart buildings, agricultural management, assisted living, industrial surveillance, and warehouse management [5,6,7].Wireless sensor networks (WSNs) are formed by many small devices called sensor nodes that detect environmental parameters and route them to a central base station (well).Batteries power the sensor nodes. With the advent of the Internet of Things (IoT) [1,2,3,4], wireless sensor networks (WSNs) are increasingly used in various applications for various fields, such as healthcare, smart buildings, agricultural management, assisted living, industrial surveillance, and warehouse management [5,6,7]. Wireless sensor networks (WSNs) are formed by many small devices called sensor nodes that detect environmental parameters and route them to a central base station (well). The energy constraint of sensor nodes introduces challenges in the design of protocols associated with IoT applications. Most of the standards developed for the protocol stack highlight special attention to the power consumption of sensor nodes. Energy conservation approaches are required at the Media Access Control (MAC) layer in the IEEE
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