Multi-Criterion Decision Making for Wireless Communication Technologies Adoption in IoT

作者: Abhinav Juneja , Sapna Juneja , Vikram Bali , Sudhir Mahajan

DOI: 10.4018/IJSDA.2021010101

关键词:

摘要: There is an unprecedented growth of internet and internet-based technologies in the recent times. We are now switching to 5G as the most recent wireless communication technology. The internet of things has become a blessing for Industry 4.0 by challenging all the existing technologies in its utility for contributing to the industrial growth. There are a lot of wireless communication technologies for IoT, and it becomes difficult choice to select one suitable for an application. Authors have presented multi-criteria decision-making techniques which are very instrumental in making a confirmed decision on the choice of appropriate technology. This choice is done based on a number of deciding parameter which are used to differentiate between all the available options. The authors have identified 11 wireless communication technologies and seven parameters to evaluate the performance of the WCT's. All the seven parameters are considered in ranking and rank matrix is obtained. This technique can be very helpful for application designers so as to choose the right platform for their applications.

参考文章(28)
Davood Sabaei, John Erkoyuncu, Rajkumar Roy, A Review of Multi-criteria Decision Making Methods for Enhanced Maintenance Delivery Procedia CIRP. ,vol. 37, pp. 30- 35 ,(2015) , 10.1016/J.PROCIR.2015.08.086
Kristina Voigt, Rainer Brüggemann, Stefan Pudenz, A multi-criteria evaluation of environmental databases using the Hasse Diagram Technique (ProRank) software Environmental Modelling and Software. ,vol. 21, pp. 1587- 1597 ,(2006) , 10.1016/J.ENVSOFT.2006.05.005
H.R. Keller, D.L. Massart, J.P. Brans, Multicriteria decision making: A case study Chemometrics and Intelligent Laboratory Systems. ,vol. 11, pp. 175- 189 ,(1991) , 10.1016/0169-7439(91)80064-W
Margriet M.W.B. Hendriks, Jan H. de Boer, Age K. Smilde, Durk A. Doornbos, Multicriteria decision making Chemometrics and Intelligent Laboratory Systems. ,vol. 16, pp. 175- 191 ,(1992) , 10.1016/0169-7439(92)80036-4
Penka Tsonkova, Christian Böhm, Ansgar Quinkenstein, Dirk Freese, Application of partial order ranking to identify enhancement potentials for the provision of selected ecosystem services by different land use strategies Agricultural Systems. ,vol. 135, pp. 112- 121 ,(2015) , 10.1016/J.AGSY.2015.01.002
Lars Carlsen, , Partial ordering as decision support to evaluate remediation technologies environmental 2015, Vol. 2, Pages 110-121. ,vol. 2, pp. 110- 121 ,(2015) , 10.3934/ENVIRONSCI.2015.1.110
Rainer Brüggemann, Peter B. Sørensen, Dorte Lerche, Lars Carlsen, Estimation of Averaged Ranks by a Local Partial Order Model Journal of Chemical Information and Computer Sciences. ,vol. 44, pp. 618- 625 ,(2004) , 10.1021/CI034214M
Lars Carlsen, The Interplay between QSAR/QSPR Studies and Partial Order Ranking and Formal Concept Analyses International Journal of Molecular Sciences. ,vol. 10, pp. 1628- 1657 ,(2009) , 10.3390/IJMS10041628
Paul J. Lewi, Jul Van Hoof, Peter Boey, Multicriteria decision making using Pareto optimality and PROMETHEE preference ranking Chemometrics and Intelligent Laboratory Systems. ,vol. 16, pp. 139- 144 ,(1992) , 10.1016/0169-7439(92)80052-6