원문정보
초록
영어
Energy consumption is one of the most challenging constraintsof the design and implementation of the sensor network. Underwater sensor networking is the technology that enables the applications like environment monitoring, underwater exploration, seismic monitoring and other surveillance applications. In underwater sensor network,a sensor node senses the data and transmits it to the sink. Many routing algorithms have been proposed in order to make the network phase of UWSNs more efficient.In this report, we present a review and comparison of various data collection algorithms and clustering schemes, proposed recently in order to execute the demands of the ongoing researches. The main goal of data aggregation technique is to accumulate data in an energy efficient manner for a long-term network monitoring. The main purpose of this study is to present algorithms addressing issues like deployment and localization in UWSNs under different conditions.
목차
1. Introduction
2. Features of UWSNs
3. Applications
4. Architecture
4.1. Static UWSN
4.2. MobileUWSN
5. Comparison BetweenTWSNsand UWSNs [30]
6. Data Aggregation Protocols ForUWSNs
6.1. Parametric Chain Based Routing Approach (PCRA)
6.2.HH-VBF
6.3.SFEB
6.4. LEACH
6.5.LAA
6.6.Reliable and Energy Balanced Routing Algorithm (REBAR)
6.7.Location based Clustering Algorithm for Data Gathering (LCAD)
6.8. Minimum-Latency Aggregation Scheduling (MLAS)
6.9. Distributed Minimum-Cost Clustering Protocol (MCCP)
6.10. Distributed Underwater Clustering Scheme (DUCS)
6.11.A Self Healing Clustering Head Selection Algorithm (CHSA)
6.12. Multi-Sink Opportunistic Routing Protocol
6.13. Multipath Virtual Sink Architecture
7. Open Research Issues
8. Conclusion
References