000069940 001__ 69940
000069940 005__ 20190709135434.0
000069940 0247_ $$2doi$$a10.3390/s18040998
000069940 0248_ $$2sideral$$a105240
000069940 037__ $$aART-2018-105240
000069940 041__ $$aeng
000069940 100__ $$0(orcid)0000-0002-2726-6760$$aGarcía-Magariño, I.$$uUniversidad de Zaragoza
000069940 245__ $$aABS-SmartComAgri: An Agent-Based Simulator of Smart Communication Protocols in Wireless Sensor Networks for Debugging in Precision Agriculture
000069940 260__ $$c2018
000069940 5060_ $$aAccess copy available to the general public$$fUnrestricted
000069940 5203_ $$aSmart communication protocols are becoming a keymechanismfor 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.
000069940 536__ $$9info:eu-repo/grantAgreement/ES/MEC/CAS17-00005$$9info:eu-repo/grantAgreement/ES/MEC/OAPEE-2013-1-CZ1-GRU06-14277$$9info:eu-repo/grantAgreement/ES/MINECO/TIN2014-57028-R$$9info:eu-repo/grantAgreement/ES/UZ/JIUZ-2017-TEC-02$$9info:eu-repo/grantAgreement/ES/UZ/JIUZ-2017-TEC-03
000069940 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000069940 590__ $$a3.031$$b2018
000069940 591__ $$aINSTRUMENTS & INSTRUMENTATION$$b15 / 61 = 0.246$$c2018$$dQ1$$eT1
000069940 591__ $$aCHEMISTRY, ANALYTICAL$$b23 / 84 = 0.274$$c2018$$dQ2$$eT1
000069940 591__ $$aELECTROCHEMISTRY$$b12 / 26 = 0.462$$c2018$$dQ2$$eT2
000069940 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000069940 700__ $$0(orcid)0000-0002-4773-4904$$aLacuesta, R.$$uUniversidad de Zaragoza
000069940 700__ $$aLloret, J.
000069940 7102_ $$15007$$2570$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Lenguajes y Sistemas Inf.
000069940 773__ $$g18, 4 (2018), 998 [20 pp]$$pSensors$$tSENSORS$$x1424-8220
000069940 8564_ $$s1634528$$uhttp://zaguan.unizar.es/record/69940/files/texto_completo.pdf$$yVersión publicada
000069940 8564_ $$s107680$$uhttp://zaguan.unizar.es/record/69940/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000069940 909CO $$ooai:zaguan.unizar.es:69940$$particulos$$pdriver
000069940 951__ $$a2019-07-09-11:33:05
000069940 980__ $$aARTICLE