Please use this identifier to cite or link to this item: https://hdl.handle.net/11499/56538
Title: An Energy Conservative Routing Path Discovery Algorithm in Wireless Nano-Sensor Networks
Authors: Gulec, O.
Keywords: Energy Conservation
Internet of Nano-Things
Routing Path Discovery
Wireless Nano-Sensor Networks
Internet of things
Nanosensors
Network routing
Power management (telecommunication)
Sensor nodes
Discovery algorithm
Energy
Internet of nano-thing
Nano-sensors
Path discovery
Routing path
Routing path discovery
Sensors network
Sink nodes
Wireless nano-sensor network
Energy efficiency
Publisher: Institute of Electrical and Electronics Engineers Inc.
Abstract: Finding suitable routing paths in Wireless Nano- Sensor Networks (WNSNs) is a fundamental problem to be solved for energy-efficient communication in Internet of Nano- Things (IoNT) applications. Due to the nano- batteries having very limited capacity, the nano-sensor nodes should communicate through an energy-efficient routing scheme on the network. Therefore, the routing algorithms developed for WNSNs should save more energy while the nano-sensors are transmitting data packets to the base station. Therefore, in this paper, an energy- conservative routing path discovery algorithm between a nano-sensor node and the sink node is proposed for IoNT applications. According to the results, the proposed algorithm successfully builds the energy-conservative paths by up to 90.3 %, saves energy on each route by up to 98.857 nJ and prolongs the lifetime by up to 5.842 times on average regarding the shortest path and hop count routing between a nano-node to the sink node. © 2023 IEEE.
Description: IEEE Communications Society
2023 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2023 -- 4 July 2023 through 7 July 2023 -- 194300
URI: https://doi.org/10.1109/BlackSeaCom58138.2023.10299777
https://hdl.handle.net/11499/56538
ISBN: 9798350337822
Appears in Collections:İktisadi ve İdari Bilimler Fakültesi Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

Show full item record



CORE Recommender

Google ScholarTM

Check




Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.