Remote　sensor　networks　are　a　flexible　innovation　that　deals　the　capacity　to　observe　thorough　actual　occurrences　as　well　as　a　wide-range　environment　where　physical　frameworks　are　considered　unsuitable　and　costly.　This　study　presents　the　context-aware　based　remote　sensing　network　(remote　or　wireless　sensor　networks　or　WSN　uses　alternatively　in　this　paper)　for　indoor　ecological　observing　at　home.　Indoor　environs　atmosphere　as　well　as　stability　among　occupant’s　well-being　and　predicting　plants　are　the　principles　of　this　proposed　framework.　The　introduced　framework　comprises　of　various　sensor　gadgets　simultaneously　evaluating　temperature,　relative　humidity　via　mobile　sensors,　illumination,　carbon　dioxide　CO2,　oxygen　O2　and　benzene　C6H6　levels　in　separate　spaces.　This　study　also　exhibits　the　framework　structure,　the　context-aware　lifecycle　and　the　context　modeling　and　reasoning　architectures　for　observing　the　environment.　©　2019,　ICST　Institute　for　Computer　Sciences,　Social　Informatics　and　Telecommunications　Engineering.