Increasing the Efficiency of Data Gathering in Clustered Wireless Sensor Networks Using Uav

Abstract

Background. To implement the process of collecting UAV monitoring data from sensor nodes in the wireless sensor networks (WSN) control system, it is necessary to implement appropriate methods and algorithms. To increase the efficiency of the data collection process in the WSN, it is clustered, the main cluster nodes are selected that collect monitoring data in the cluster and transmit this data to the UAV when it approaches. The methods proposed today for collecting data from nodes of sensor networks using UAVs do not consider the requirements of various target control functions, especially the functioning of specific networks and require further improvement. Objective. The aim of the work is to analyze and consider ways to improve the efficiency of the process of collecting data from sensor nodes of the WSN using UAVs during its clustering. Methods. In contrast to the traditional ways to solve the problem of collecting UAV monitoring data from WSN nodes, a set of methods is proposed to achieve various objective control functions (maximizing WSN functioning time, minimizing data collection time, minimizing the number of UAVs) at various stages of network operation. Results. The application of the proposed methods to increase the efficiency of monitoring data collection allows increasing the network lifetime, reducing data collection time and reducing the number of UAVs required for data collection. Conclusions. To achieve various target management functions at the main stages of monitoring data collection in wireless sensor networks, many methods have been proposed to improve the basic indicators of their functioning.

Modifying a method for direct data collection by a telecommunication aerial platform from nodes of wireless sensor networks

“…The main differences between the proposed method and the existing ones [3][4][5][6][7][8][9][18][19][20][21][22][23] at different stages of its functioning are given in Table 1.…”

“…At the second stage of the method, an algorithm for finding data collection points by TAP in the space of each cluster is determined, which, unlike the existing ones [3][4][5][6][7][8][9][10]22], takes into consideration the actual amount of data, the available energy of the batteries of the nodes within a cluster and the parameters of the MAC protocol. This allows one to minimize the average energy consumption of cluster nodes or to minimize the time of data exchange.…”

“…Consequently, reducing the energy consumption of sensor nodes is crucial to prolong the time of their operation. In addition, these networks belong to the class of DTN (Delay Tolerant Networks) networks, which are characterized by a delay in acquiring monitoring data [1][2][3][4].…”

“…Scientific research into tasks for optimizing the time of data acquisition by telecommunication platforms and optimizing the operating time of this class of networks is important. There are a number of papers [1][2][3][4] that consider general approaches to the synthesis of the process of data collection by telecommunication aerial platforms from WSN nodes.…”

A Model of Situational Control of the Telecommunication Aerial Platform Flight Trajectory to Collect Data From Nodes of a Wireless Sensor Network

“…The dynamic formation of clusters and their sizes, the trajectory of TA movement, the location of points and intervals of TA data exchange with nodes significantly affect the efficiency of data collection. However, publications [1][2][3][4][5][6][7][8][9][10][11][12][13] do not consider several efficiency criteria, their dependence on a set of parameters of the state of network nodes and clusters, and the trajectory of the vehicle. Thus, the unresolved problem when considering the process of building a TA flight path is to determine the points (intervals) of the data collection trajectory while considering two criteria: minimizing the time of data viewing and maximizing the network operation time.…”