@proceedings {Kushwaha2018864,
	title = {Providing sensor services by data correlation: The $\#$SmartME approach},
	journal = {Conference on Complex, Intelligent, and Software Intensive Systems},
	volume = {611},
	year = {2017},
	note = {cited By 0; Conference of 11th International Conference on Complex, Intelligent, and Software Intensive Systems, CISIS 2017 ; Conference Date: 10 July 2017 Through 12 July 2017},
	pages = {864-874},
	publisher = {Springer Verlag},
	address = {Torino, Italy - 10-12 July 2017},
	abstract = {<p>In the current era Internet is the most used medium for sharing and retrieving the information for building applications which are commonly developed for enhancing the user experience in terms of comfort, communication. For this, the need of real-time sensor data gains importance. The data collected from the physical objects should be easily available for different applications. Semantic representation of the sensor data directly addresses the problem of storing it in logical, easily accessible and extensible manner. Our paper works towards converting the already collected sensor data of the $\#$SmartME project into semantic format and also proposes real-time storage of semantically enriched sensor data. To build applications using these sensor data the authors consider mainly three kinds of sensors, i.e., Temperature, Humidity, Pressure. Predicting the observed value of any sensor data is the main aim of this work. The analysis leverages other sensors \&amp; environmental parameters such as Date, Time, Longitude, Latitude, Altitude etc. Correlation among these parameters and the accuracy of the predicted results showed the suitability of our proposed idea. {\textcopyright} Springer International Publishing AG 2018.</p>
},
	keywords = {Building applications, Complex networks, Correlations, Data correlations, Data mining, Digital storage, Environmental parameter, Real time sensors, Semantic representation, Semantic Web, sensor networks, SmartME, Stack4Things},
	isbn = {9783319615653},
	issn = {21945357},
	doi = {10.1007/978-3-319-61566-0_82},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85026317817\&doi=10.1007\%2f978-3-319-61566-0_82\&partnerID=40\&md5=7b4cb65c4b09ea03df77bbea893f4002},
	author = {Nidhi Kushwaha and Giovanni Merlino and Francesco Longo and Dario Bruneo and Antonio Puliafito and O.P. Vyas}
}
@proceedings {Bruneo2010,
	title = {Reliability assessment of wireless sensor nodes with non-linear battery discharge},
	journal = {2010 IFIP Wireless Days, WD 2010},
	year = {2010},
	note = {cited By 8; Conference of 2010 IFIP Wireless Days, WD 2010 ; Conference Date: 20 October 2010 Through 22 October 2010; Conference Code:83354},
	publisher = {IEEE Computer Society},
	address = {Venice, Italy, 20-22 October 2010},
	abstract = {<p>Wireless sensor networks are constituted of a large number of tiny sensor nodes randomly distributed over a geographical region. In order to reduce power consumption, nodes undergo cycles of active-sleep periods that reduce their ability to send/receive data. Aim of this paper is to analyze the reliability of a battery-powered sensor node with active-sleep cycles considering both linear and non linear discharge processes. The approach used in the evaluation is based on continuous phase type distributions and Kronecker algebra. The technique is thus applied to the evaluation of an example in order to demonstrate its effectiveness. The obtained results strongly encourage future work, figuring out possible application in wider network context with complex topology, redundant nodes, and unreliable links, due to the Kronecher algebra capabilities to manage the state space explosion problem. {\textcopyright} 2010 IEEE.</p>
},
	keywords = {Algebra, Battery discharge, Continuous phase, Electric network synthesis, Energy consumption, Energy utilization, Kronecker algebra, Markov reward model, Reliability analysis, sensor networks, Sensor nodes, Telecommunication equipment, Wireless sensor, Wireless sensor networks},
	isbn = {9781424492299},
	doi = {10.1109/WD.2010.5657711},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-78751474054\&partnerID=40\&md5=86f6f2fa864d7e52672ab4e4bd83d78a},
	author = {Dario Bruneo and Salvatore Distefano and Francesco Longo and Antonio Puliafito and Marco Scarpa}
}
