Energy Harvesting for Lifetime Maximization of the Underground Sensor Networks via FFC in Underground Mining
P. Rama1, S. Murugan2
1Rama, Research Scholar, Sathyabama Institute of Science and Technology, Chennai (TamilNadu), India.
2S. Murugan, Professor, Deparment of Computer Science and Engineering, Sathyabama Institute of Science and Technology, Chennai (TamilNadu), India.
Manuscript received on 04 May 2019 | Revised Manuscript received on 09 May 2019 | Manuscript Published on 13 May 2019 | PP: 11-18 | Volume-8 Issue-7S May 2019 | Retrieval Number: G10030587S19/19©BEIESP
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© 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: Energy harvesting is the process by which energy is derived from external sources. Energy harvesting is one of the challenging problems in balancing energy within the limited bandwidth when compared to the surface of an area using sensor devices. To solve the above challenge, the aim of the work is to collecting and sharing the available energy source from sink node,to increase the life time of the sensor node and at the same time increases the lifetime of the sensor networks. Therefore, a Finer Force Care-up (FFC) method is proposed to shares the energy for underground mining. The FFC method is to estimate the quantity of available energy capacity for each sensor node in underground mining. To calculate the distance between the base station and itself the Monte-Carlo-Localization (MCL) method is used. Subsequently it derives the energy from overall sensor network into single node then calculates the energy loss of a particular packet transfer between one-sensor nodes to another node. Finally to shares the collective energy to overall sensors in the network in underground mining. This proposed work ensure the reliable packet delivery between the source and destination of sensor nodes; Simulation results shows the effective evaluation of the wireless sensor networks in underground mines to share the available power, reliable packet delivery, life time of the sensor networks and packet delivery ratio.
Keywords: Fine Force Care-up, Life time, reliable packet delivery, Underground Mining, Energy loss, Packet delivery ratio, wireless sensor network.
Scope of the Article: Computer Science and Its Applications