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Enhancing the Performance of Energy Harvesting Sensor Networks for Environmental Monitoring Applications

Zareei, Mahdi and Vargas-Rosales, Cesar and Anisi, Mohammad Hossein and Musavian, Leila and Villalpando-Hernandez, Rafaela and Goudarzi, Shidrokh and Mohamed, Ehab Mahmoud (2019) 'Enhancing the Performance of Energy Harvesting Sensor Networks for Environmental Monitoring Applications.' Energies, 12 (14). p. 2794. ISSN 1996-1073

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Fast development in hardware miniaturization and massive production of sensors make them cost efficient and vastly available to be used in various applications in our daily life more specially in environment monitoring applications. However, energy consumption is still one of the barriers slowing down the development of several applications. Slow development in battery technology, makes energy harvesting (EH) as a prime candidate to eliminate the sensor’s energy barrier. EH sensors can be the solution to enabling future applications that would be extremely costly using conventional battery-powered sensors. In this paper, we analyze the performance improvement and evaluation of EH sensors in various situations. A network model is developed to allow us to examine different scenarios. We borrow a clustering concept, as a proven method to improve energy efficiency in conventional sensor network and brought it to EH sensor networks to study its effect on the performance of the network in different scenarios. Moreover, a dynamic and distributed transmission power management for sensors is proposed and evaluated in both networks, with and without clustering, to study the effect of power balancing on the network end-to-end performance. The simulation results indicate that, by using clustering and transmission power adjustment, the power consumption can be distributed in the network more efficiently, which result in improving the network performance in terms of a packet delivery ratio by 20%, 10% higher network lifetime by having more alive nodes and also achieving lower delay by reducing the hop-count.

Item Type: Article
Uncontrolled Keywords: energy harvesting; wireless sensor network; environmental monitoring; clustering; energy efficiency; network lifetime; transmission power
Divisions: Faculty of Science and Health
Faculty of Science and Health > Computer Science and Electronic Engineering, School of
SWORD Depositor: Elements
Depositing User: Elements
Date Deposited: 15 Aug 2019 12:04
Last Modified: 23 Sep 2022 19:33

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