Version 1
: Received: 26 May 2018 / Approved: 28 May 2018 / Online: 28 May 2018 (09:02:31 CEST)
How to cite:
Krishan, T.; Alkhawaldeh, R. S.; Khawaldeh, S.; Al-Ahmad, B.; Al Smadi, A. Hn-PERP: Hop by Hop - Power-Efficient Routing Protocol over Underwater Wireless Sensor Networks. Preprints2018, 2018050391. https://doi.org/10.20944/preprints201805.0391.v1
Krishan, T.; Alkhawaldeh, R. S.; Khawaldeh, S.; Al-Ahmad, B.; Al Smadi, A. Hn-PERP: Hop by Hop - Power-Efficient Routing Protocol over Underwater Wireless Sensor Networks. Preprints 2018, 2018050391. https://doi.org/10.20944/preprints201805.0391.v1
Krishan, T.; Alkhawaldeh, R. S.; Khawaldeh, S.; Al-Ahmad, B.; Al Smadi, A. Hn-PERP: Hop by Hop - Power-Efficient Routing Protocol over Underwater Wireless Sensor Networks. Preprints2018, 2018050391. https://doi.org/10.20944/preprints201805.0391.v1
APA Style
Krishan, T., Alkhawaldeh, R. S., Khawaldeh, S., Al-Ahmad, B., & Al Smadi, A. (2018). H<em><sup>n</sup></em>-PERP: Hop by Hop - Power-Efficient Routing Protocol over Underwater Wireless Sensor Networks. Preprints. https://doi.org/10.20944/preprints201805.0391.v1
Chicago/Turabian Style
Krishan, T., Bilal Al-Ahmad and Adnan Al Smadi. 2018 "H<em><sup>n</sup></em>-PERP: Hop by Hop - Power-Efficient Routing Protocol over Underwater Wireless Sensor Networks" Preprints. https://doi.org/10.20944/preprints201805.0391.v1
Abstract
Underwater wireless sensor networks (UWSN) have recently been proposed as a way to monitor and explore the water depths' environments. Efficiently delivering the data is still a challenging problem in these networks because of the weaknesses in the acoustic transmission. To tackle such a problem, we propose a novel algorithm provides controlling mechanisms for critical long-term data forwarding underwater sensor networks, called Hop by Hop Power-Efficient Routing Protocol (Hn-PERP). The proposed Hn-PERP is a centralized full-control model that enhances the network's throughput and energy efficiency by a set of solutions depend on power monitoring in UWSN nodes. In particular, the model provides a guaranteed mechanism for scheduling and processing data transmission based on number of nodes, hops between the nodes, energy level and congestion within each node to minimize energy levels or power consumption by avoiding disconnected probability for any node, which in turn maximizing the network lifetime. Simulation results show that our proposed model is consistent with energy level and congestion, and is more accurate for enabling routing and data transmission. Therefore, the data packet delivery ratio and overall throughput also achieves robust scenarios of very sparse or/and weak networks, to keep on Performance stability in UWSN via adjusting hop-by-hop delay and energy consumption during packages delivery.
Computer Science and Mathematics, Computer Science
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.