زهرا نادري رجه

With the rapid advancement of technology, The Internet of Things (IoT) has been extensively ap- plied across various domains including connected vehicles, augmented reality, facial recognition, and healthcare. Wireless sensor networks play a crucial role in the growth of this technology. IoT devices often generate large amounts of data and face constraints in processing power and battery capacity. Energy conservation is critical for the proper functioning of these networks, and device batteries must be periodically replaced or recharged. Studies have shown that the routing and trans- mission of packets, consume about 55% of the energy used by each device. Thus, a significant por- tion of the energy consumed by each node in the wireless sensor network is influenced by its packet routing. Given these limitations, there is a growing necessity for a suitable routing protocol to man- age these constraints in communication between devices. One of the most well-known protocols introduced for these networks is the RPL routing protocol. This routing protocol uses an objective function to select appropriate paths in the network, pursuing various objectives like optimizing en- ergy consumption or enhancing reliability. In many studies, energy consumption metrics have been used in objective functions to optimize energy usage. One of the energy provisioning solutions is the use of energy harvesters in wireless sensor network nodes.Recently, environmental energy har- vesting has been explored as a solution to extend the lifetime of wireless sensor nodes.Accordingly, in this research, the EnFo objective function has been proposed.EnFo is capable of routing packets by considering the temperature of the nodes and the thermoelectric harvester in a way that increases the lifetime of the nodes by balancing the workload (temperature) and the energy harvested from the temperature. This increase in lifetime contributes to greater network stability and enhanced re- liability. To eva‎luate the performance of EnFo, simulations are conducted in the Cooja simulator environment.The simulation results show that EnFo improves node lifespan by up to 15 days and the efficiency of energy harvested from the environment by up to 30% compared to the best results of other objective functions. Additionally, the successful packet delivery rate in EnFo is competitive with the best-performing objective functions.

ﺍﯾﻨﺘﺮﻧﺖ ﺍﺷﯿﺎﺀ , ﺷبكه ﻫﺎي كم ﺗﻮﺍﻥ ﻭ پر ﺍﺗﻼﻑ , تابع هدف , برداشتگر انرژي

Internet of Things , Low-Power and Lossy Networks , Objective Function , Energy Harvester

zahra naderi raje

amir mahdi hosseini monazzah