Development of an Energy-Aware Algorithm for Low Power Wireless Sensor Node Powered by Dual Energy Harvesting Sources
Ali Mohammed Abdal-Kadhim1, Kok Swee Leong2

1Ali Mohammed Abdal-Kadhim, Faculty of Electronic and Computer Engineering, Universiti Teknikal Malaysia Melaka, Melaka, Malaysia.
2Kok Swee Leong, Faculty of Electronic and Computer Engineering, Universiti Teknikal Malaysia Melaka, Melaka, Malaysia.
Manuscript received on 21 August 2019 | Revised Manuscript received on 02 September 2019 | Manuscript Published on 16 September 2019 | PP: 797-802 | Volume-8 Issue-2S6 July 2019 | Retrieval Number: B11480782S619/2019©BEIESP | DOI: 10.35940/ijrte.B1148.0782S619
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: A novel self-powered wireless sensor node is proposed and prototyped to overcome the ambient energy lacking in the dual energy harvesting sources by including a secondary energy storage. Moreover, an energy-aware Event-Priority-Driven Dissemination (EPDD) management algorithm has been developed and implemented to control the WSN integrity and reducing the sensor node power consumption as well. EPDD was developed to manage the sensor node operation and to make the sink station able to detect a missing wireless node within the network, which will guarantee the nodes integrity detection. The evaluations revealed that the EPDD shows a good performance in reducing the node power consumption compared to the data push algorithm, whereby, EPDD node was operating 4 hours more than the data push node on the same power source. Regarding the WSN integrity, the EPDD algorithm outpaced the event trigger algorithm, whereby, the EPDD was easily able to detect a node down within the WSN at the contrary of the event trigger.
Keywords: Wireless Sensor Network, Dual Energy Harvesting Sources, EPDD Algorithm, Node Down Detection, WSN Integrity.
Scope of the Article: Low-power design