Abstract:
The Wireless sensor networks (WSNs) can effectively address the issue with the static sink’s sink-hole or hot spot brought on
by multi-hop routing by data collecting using the mobile sinks (MS). The optimal path’s design, however, is a famous NP-hard issue.
Data transmission from source nodes to base station that is both successful and efficient while reducing energy consumption and data
loss is what determines the architecture’s overall performance. In WSNs, data collection is done via mobile sinks or static sinks (SS).
However, the effectiveness of MS based data collection techniques is higher than that of techniques based on static sinks. Nevertheless,
the MS-based data collection methods have a number of shortcomings and restrictions. Designing a trajectory is therefore an NP-hard
task. In this work, we suggest a survey that utilizes the path optimization techniques. We also have an overview of different approaches
for using SS and MS-based techniques to collect data from a sensor network, as well as different kinds of data collection using MS
and some of the difficulties it encounters. Lastly, we offer a level-based categorization of the various trajectory techniques that were
employed to gather the data. We divided the schemes into two categories at the first level: static and dynamic.
