A Review on Localization Techniques in Underwater Acoustic Sensor Networks (UASN)
The development of underwater acoustics was initiated by sonar technologists to train sonar operators and to predict sonar performance. The traditional approaches of ocean monitoring have drawbacks of real time monitoring, online system configuration, storage capacity and failure detection. To overcome these drawbacks an extensive research work is being carried out by many promotional bodies and prominent researchers to promote the advances and applications of underwater features. Recent advancements in sensor technologies have explored the unexplored applications and help to monitor and forecast the ocean openings. Underwater acoustics plays important role in monitoring systems, seismic monitoring, ocean sampling networks, undersea discoveries, catastrophic prevention, environmental monitoring etc. It is highly desirable to know the location in every application. Localization plays vital role in each and every application. This chapter discusses various techniques which are experimented and tested for different architectures in underwater acoustic sensor networks.
Packet Flow Based Reinforcement Learning MAC Protocol for Underwater Acoustic Sensor Networks
