Abstract
Clock synchronization in underwater wireless sensor networks (UWSN) is a key procedure for the operation of this type of networks. Besides, due to the characteristics of the underwater channel, UWSNs face challenging constraints that make them different from other ad hoc wireless networks such as limited bandwidth, high error rates, high propagation delay, just to mention a few. Most of the existing literature on clock synchronization for UWSNs has been done through mathematical models. Thus, in this paper, we present a simulation-based approach to Light-Sync, which is a protocol synchronizing sensor nodes placed on the sea to a beacon on the surface. We use NS-2 along with AquaSim to study a UWSN with Light-Sync and prove its operation by means of discrete-event simulation. Moreover, our results are consistent with those found in Light-Sync and match accurately the synchronization accuracy regardless the number of nodes in the UWSN. Thus, we provide a simulation-based validation approach that makes more robust the proposal in Light-Sync.
Highlights
Underwater sensor networks are deployed to support a great variety of applications in the oceans such as temperature monitoring, disaster prevention, water salinity and water oxygen levels, to mention a few
This is because the propagation speed of acoustic signals is about 1500 m/s, which clearly limits the maximum throughput of underwater wireless sensor networks (UWSN)
In this paper by means of simulation with NS-2 and AquaSim, we evaluate the performance of Light-Sync, which is a clock synchronization protocol for UWSNs
Summary
Underwater sensor networks are deployed to support a great variety of applications in the oceans such as temperature monitoring, disaster prevention, water salinity and water oxygen levels, to mention a few. Such applications are much more challenging to develop than traditional sensor networks since underwater communications present characteristics that make quite difficult the transmission in the channel. The sensor network relays data through multihop paths from the seabed to a station or a buoy, which acts as a supernode at the surface Such a supernode may be equipped with an acoustic transducer, allowing multiple communications through surface towers and satellites.
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