  As water pollution is a serious threat to underwater resources, i.e.,
underwater plants and species, we focus on protecting the resources by cleaning
the non-biodegradable waste from the water. The waste can be recycled for
further usage. Here we design a robotic fish which mainly comprises optical
biosensor, camera module, piston module, and wireless transceiver. By
exploiting the LTE and 5G network architecture, the fish stores the information
about the underwater waste in the nearest mobile edge computing server as well
as in the centralized cloud server. Finally, when the fish clears the
underwater waste, it offloads the captured image of the located object to the
mobile edge computing server or sometimes to the cloud server for making a
decision. The servers employ intelligent image processing technology and an
adaptive learning process to make a decision. However, if the servers fail to
make a decision, then the fish utilizes its optical biosensor. By this scheme,
the time delay for clearing any water body is minimized and the waste
collection capacity of the fish is maximized. This technique can effectively
help the government or municipal personnel for making clean water without
manual efforts.
