2016
DOI: 10.4018/ijaeis.2016100104
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Two-Level Data Collection for an Energy-Efficient Solution in Wireless Sensor Networks

Abstract: Density in sensor networks often causes data redundancy, which is often the origin of high energy consumption. Data collection techniques are proposed to avoid retransmission of the same data by several sensors. In this paper, the authors propose a new data collection strategy based on static agents and clustering nodes in wireless sensor network (WSN) for an efficient energy consumption called: Two-Level Data Collection Strategy (TLDC). It consists in two-level hierarchy of nodes grouping. The technique is ba… Show more

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(1 citation statement)
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“…Multi-agentsystems(MAS)havebeenusedtointroducetheintelligenceinthefieldofagriculture for the intelligent management of production and the refinement of the quality of services. (Schreinemachers,2006)hasproposedaMulti-agentsystems(MAS)usingoptimizationmodels.A newthree-stageinvestmentdecisionmodelisusedforrepresentationoftheuncertaintyinland-use decision-makingmodels.In (Chevalier,2015)authorsproposetheuseofamulti-agentsystemfor precisionfarmingbypathtracking,disruptionrejectionandavoidanceofobstacleswhosepathway isaddressed.TheMASconsistsoftwospecializedagents:aquadrotorastheaerialagentandtracked robotswitharotarycameraastheagentsonthegroundtheycollaboratetoachievethecommontask offollowingapredefinedpath.Aseriesofproof-of-conceptexperimentsforthisnovelcombined controlstrategyareperformed.Simulationandexperimentalresultsarepresented.Two-LevelSmart StrategyforDataCollection(TLDC)basedonMASforsmartagricultureareproposedin (Benaziz, 2016).Itconsistsoftwo-levelhierarchyofnodesgrouping.Thetechniqueisbasedonanexperience buildingtoperformareorganizationofthegroups.Cooperationbetweenagentscanbeusedtoreduce thecommunicationcostsignificantly,bymanagingsmartlythedatacollection.…”
Section: Multi-agent System In Precision Agriculturementioning
confidence: 99%
“…Multi-agentsystems(MAS)havebeenusedtointroducetheintelligenceinthefieldofagriculture for the intelligent management of production and the refinement of the quality of services. (Schreinemachers,2006)hasproposedaMulti-agentsystems(MAS)usingoptimizationmodels.A newthree-stageinvestmentdecisionmodelisusedforrepresentationoftheuncertaintyinland-use decision-makingmodels.In (Chevalier,2015)authorsproposetheuseofamulti-agentsystemfor precisionfarmingbypathtracking,disruptionrejectionandavoidanceofobstacleswhosepathway isaddressed.TheMASconsistsoftwospecializedagents:aquadrotorastheaerialagentandtracked robotswitharotarycameraastheagentsonthegroundtheycollaboratetoachievethecommontask offollowingapredefinedpath.Aseriesofproof-of-conceptexperimentsforthisnovelcombined controlstrategyareperformed.Simulationandexperimentalresultsarepresented.Two-LevelSmart StrategyforDataCollection(TLDC)basedonMASforsmartagricultureareproposedin (Benaziz, 2016).Itconsistsoftwo-levelhierarchyofnodesgrouping.Thetechniqueisbasedonanexperience buildingtoperformareorganizationofthegroups.Cooperationbetweenagentscanbeusedtoreduce thecommunicationcostsignificantly,bymanagingsmartlythedatacollection.…”
Section: Multi-agent System In Precision Agriculturementioning
confidence: 99%