Abstract

Smart communication protocols are becoming a key mechanism for improving communication performance in networks such as wireless sensor networks. However, the literature lacks mechanisms for simulating smart communication protocols in precision agriculture for decreasing production costs. In this context, the current work presents an agent-based simulator of smart communication protocols for efficiently managing pesticides. The simulator considers the needs of electric power, crop health, percentage of alive bugs and pesticide consumption. The current approach is illustrated with three different communication protocols respectively called (a) broadcast, (b) neighbor and (c) low-cost neighbor. The low-cost neighbor protocol obtained a statistically-significant reduction in the need of electric power over the neighbor protocol, with a very large difference according to the common interpretations about the Cohen’s d effect size. The presented simulator is called ABS-SmartComAgri and is freely distributed as open-source from a public research data repository. It ensures the reproducibility of experiments and allows other researchers to extend the current approach.

Highlights

  • Smart communication protocols have been widely used for making communications more efficient in several kinds of networks

  • Nair et al [1] applied a smart protocol for improving communications in vehicular ad-hoc networks (VANETs)

  • The works about smart communication protocols have a wide range of purposes such as energy consumption reduction, balanced communications, interconnection of different device kinds and reduction of transmitted data

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Summary

Introduction

Smart communication protocols have been widely used for making communications more efficient in several kinds of networks. Nair et al [1] applied a smart protocol for improving communications in vehicular ad-hoc networks (VANETs). Khan and Faheem [3] presented a smart communication system for reducing energy losses in smart grids. Their approach showed its utility in a case study from Pakistan. The scan-based movement-assisted sensor deployment method (SMART) [4] proposed a smart communication approach for analyzing the performance of WSNs with mobile nodes. It was aimed at achieving efficient balanced networks minimizing the existence of holes

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