On the architectures of RF based underwater wireless sensor networks for intruder detection

For underwater surveillance and observations, the widely used medium is the acoustic wave based underwater wireless sensor networks (UWSNs). But acoustics in underwater environmentface high challenges to meet the necessity for fast transmission rates in differentnewly emerging underwater operations. Then again, underwater network systems based on radio frequency (RF) have incredible potential for supporting fast information transmission. In light of this, we propose and examine twothree dimensional (3D)cluster-based UWSN architectures for identifying intruders in an underwater surveillance area. The proposedarchitectures comprised of cluster heads (CHs) and sensor nodes (SNs)senses the presence of an intruder inside the surveillance area and thenpassthe realtime location of the intruderto a coastalbase station (BS) via a sink situated at water surface. All the data transfersfrom SNs to BSs are RF based. The data of the received RF signal strength and the positions of the SNs and CHs are the information used for calculating the intruder´s position. For assessing the proposed system architectures´ localization capacities in a seawater circumstance, substantial simulations are carried through. Localization precision of the architectures is altogether examined in terms of inaccuracy in distance and direction estimations. Effect of different framework parameters on the performance is likewise interpretatively scrutinized exhibiting noteworthyperformance discord between the architectures.