Abstract
In the water area monitoring of the traditional wireless sensor networks (WSNs), the monitoring data are mostly transmitted to the base station through multihop. However, there are many problems in multihop transmission in traditional wireless sensor networks, such as energy hole, uneven energy consumption, unreliable data transmission, and so on. Based on the high maneuverability of unmanned aerial vehicles (UAVs), a mobile data collection scheme is proposed, which uses UAV as a mobile sink node in WSN water monitoring and transmits data wirelessly to collect monitoring node data efficiently and flexibly. In order to further reduce the energy consumption of UAV, the terminal nodes are grouped according to the dynamic clustering algorithm and the nodes with high residual energy in the cluster are selected as cluster head nodes. Then, according to the characteristics of sensor nodes with a certain range of wireless signal coverage, the angular bisection method is introduced on the basis of the traditional ant colony algorithm to plan the path of UAV, which further shortens the length of the mobile path. Finally, the effectiveness and correctness of the method are proved by simulation and experimental tests.
Highlights
Is paper mainly considers the self-moving energy consumption in the mobile data collection of the mobile sink node from the actual environment
Compared with the energy consumption of receiving data, the mobile energy consumption of unmanned aerial vehicles (UAVs) is an important part of its total energy consumption. erefore, how to plan the moving path of UAV and reduce its moving length as much as possible has become an important part of the problem of mobile data collection. is paper takes into account the path planning of mobile sink nodes in wireless sensor networks (WSNs) and the wireless signal coverage characteristics of nodes, further reduces the line distance of mobile sink nodes, improves the efficiency of data extraction, and increases the endurance ability of mobile sink nodes
In the water area monitoring system of the wireless sensor network, the sensor monitoring node collects the data to send to each cluster head node, and the UAV collects the data of each cluster head node [15,16,17]
Summary
In the SS line, the position of the best stop point can be found by a strategy, and the final SS line section is composed of the initial position of the mobile sink node and each satisfactory solution point. Rough the above definition and explanation of the symbol, the flight path planning problem of the mobile sink node considering the wireless signal coverage area will be expressed as follows: SS. (1) e expression 1 is the objective function of the model, indicating the length of the travel path of the mobile aggregation node. (4) Expression 5 represents the selected matrix of the road section, with 1 for selection and 0 for unchecked
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