This paper suggests the wireless communication technique used to determine the information of blimp localization
(distance and orientation) via wireless sensor network (WSN) protocol. In cooperative decentralized system, information
exchanges between the agents are crucial. Each agent is required to share data to enable individual decision making
task. In this work, the WSN were used as the data communications protocol which provides robust communication using
the mesh networking. In order to support the multi agent communication network, the reliability of data needs to be
proved. The performances of the communication selection were studied through experimental and simulation approach.
The experimental results showed that the RSSI value from the device provided good statically data fit using the R-square
with value of 0.947. This paper also proposed a new mobile node arrangement with hexagonal anchor node arrangement
based on water particles formation. The node arrangement was simulated using the Senelex™ and showed low absolute
error position thus achieving the desired cooperative system requirement.
This paper demonstrates the performance experiment and numerical prediction of the copper based hair cell for
underwater sensing. Generally, the hair cell consists of the single cantilever that attached perpendicular to the substrate
and integrated with strain gage (Kyowa type: KFG-1N-120-C1-11). The hair cell sensor was simulated using different
flow rates to study the pressure and the strain distribution acting on the sensor by using computational fluid dynamic
and finite element analysis approach. High performance sensor can be achieved by increasing the length of the hair cell
and also using low Young Modulus material. The hair cell has been fabricated for dimension of 8000 μm length, 2000
μm width and 100 μm thickness, where the copper was chosen due to its mechanical properties. The response time for
a sensor to respond completely to a change in input is about 50 m/s and the sensitivity in terms of output voltage and
input flow rate is 0.2 mV/ms-1. Also, the result obtained in the simulation is aligned with the experimental result. The
experiment for moving object detection proved that this sensor is able to detect the moving object and it is necessary for
underwater applications, especially for monitoring and surveillance.