2023
DOI: 10.32604/csse.2023.024836
|View full text |Cite
|
Sign up to set email alerts
|

FSE2R: An Improved Collision-Avoidance-based Energy Efficient Route Selection Protocol in USN

Abstract: The 3D Underwater Sensor Network (USNs) has become the most optimistic medium for tracking and monitoring underwater environment. Energy and collision are two most critical factors in USNs for both sparse and dense regions. Due to harsh ocean environment, it is a challenge to design a reliable energy efficient with collision free protocol. Diversity in link qualities may cause collision and frequent communication lead to energy loss; that effects the network performance. To overcome these challenges a novel pr… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2024
2024
2024
2024

Publication Types

Select...
2
1

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(1 citation statement)
references
References 20 publications
0
1
0
Order By: Relevance
“…This model can significantly aid in the forecast of epidemics' progress, the design of mass vaccination campaigns, and the selection of data for epidemiological research (Prakash & Sathya, 2023). By incorporating real-time statistics, this model can generate output results that are sufficiently proactive to predict the next action, thereby helping to avoid either or limit the unavoidable health hazards (Dash et al, 2023). The model considers various factors, such as the risk of contact transmission, the average number of encounters between persons, and the length of time an infected person can infect others (Woods & Böhme, 2022).…”
Section: Introductionmentioning
confidence: 99%
“…This model can significantly aid in the forecast of epidemics' progress, the design of mass vaccination campaigns, and the selection of data for epidemiological research (Prakash & Sathya, 2023). By incorporating real-time statistics, this model can generate output results that are sufficiently proactive to predict the next action, thereby helping to avoid either or limit the unavoidable health hazards (Dash et al, 2023). The model considers various factors, such as the risk of contact transmission, the average number of encounters between persons, and the length of time an infected person can infect others (Woods & Böhme, 2022).…”
Section: Introductionmentioning
confidence: 99%