Optimization of data collection and processing in a wireless network for geo-ecological monitoring

Abstract

Improving the efficiency of precision farming technologies requires the use of intelligent adaptive modes of information collection based on adaptive ad-hoc networks, including unmanned aerial vehicles. In this regard, it is relevant to develop a methodology for multi-level coordination of design solutions in the construction of a unified network for data collection and processing (UNDCP) of geo-ecological monitoring, which has a high technical and economic efficiency. The structure of spatial and temporal processing of heterogeneous data in the geodynamic monitoring system has been developed, which increases the efficiency of the geo-ecological monitoring network by consistently applying the solution in the process of its design. A three-stage model of the Markov decision-making process in the design of a telecommunications environment for geo-ecological monitoring is considered. This model includes the stages of choosing the location of base stations, radio interface parameters, and data collection and processing protocol. When carrying out a simulation at the second stage was carried out selection of modulation method and error-correcting coding in the radio channel at the third stage – resending a message using S-Aloha. Simulation results clearly illustrate the higher performance of the UNDCP, taking into account the decomposition of the optimization process by levels (compared to a complete search of solutions). The implementation of the proposed multi-level coordination of design solutions in the construction of a geo-ecological monitoring network allowed to eliminate computational difficulties in the choice of options for building a large-scale UNDCP.