Abstract
Clustering is one of the recent advancements in the implementation of modern ad hoc networks. Nodes in a large network form smaller groups, each guided by a cluster head also termed as leader node. The leader takes the major role of transmitting information across the network, thereby reducing the overhead incurred by other nodes in the network trying to forward information, thereby increasing the lifetime of the network. The selection of the most efficient leader is a challenging task and multi-criteria-based methods are implemented. Whenever the data for the multi-criterion are imprecise or unobtainable, it becomes difficult to predict the values to select the efficient leader. The proposed work uses fuzzy analytical hierarchical process (FAHP)-based multi criteria decision making (F-MCDM) model to overcome the drawbacks of the conventional methods that are ineffective in handling inherent fuzziness and uncertainty, in the selection of the leader. The analysis of results has been carried out based on the performance metrics to evaluate the stability of the network in terms of number of dominant set updates and number of reaffiliations and measuring and resolving inconsistencies in the computation of weighted coefficients for the leader selection criteria. The proposed approach shows marginally a better performance than the existing approach of combined-metrics method and also considerable improvement in the stability of the selected leader in terms of the studied metrics.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Saaty TL (1980) The analytical hierarchy process. Mc Graw Hill, New York
Anitha M, Rhymend Uthariaraj V (2015) Inconsistency elimination in selection criteria of cluster heads in ad hoc networks. Int J Appl Eng Res 10(69):135–139. ISSN 0973-4562
Yu JY, Chong PHJ (2005) A survey of clustering schemes for mobile ad hoc networks. IEEE Commun Surv Tutorials, First Quarter 7(1):32–48
Askin O, Guzin O (2007) Comparison of AHP and Fuzzy AHP for the multicriteria decision making processes with linguistic evaluations. Ýstanbul Ticaret Üniversitesi Fen Bilimleri Dergisi 6:65–85
Boender CGE, De Graan JG, Lootsma FA (1989) Multicriteria decision analysis with fuzzy pairwise comparisons. Fuzzy Sets Syst 29:133–143
Chang DY (1996) Applications of the extent analysis method on fuzzy-AHP. Eur J Oper Res 95:649–655
Ribeiro RA (1996) Fuzzy multiple criterion decision making: a review and new preference elicitation techniques. Fuzzy Sets Syst 78:155–181
Laarhoven PJM, Pedrycz W (1983) A fuzzy extension of saaty’s priority theory. Fuzzy Sets Syst 11:229–241
Adebanjo D, Laosirihongthong T, Samaranayake P (2016) Prioritizing lean supply chain management ınitiatives in healthcare service operations: a fuzzy AHP approach. Prod Plan Control 1–14
Emrouznejad A, Ho W (2017) Fuzzy analytic hierarchy process. CRC Press. ISBN 9781498732468
Emrouznejad A, Marra M (2017) The state of the art development of AHP (1979–2017): a literature review with a social network analysis. Int J Prod Res 55(22):6653–6675
Thengane SK, Hoadley A, Bhattacharya S, Mitra S, Bandyopadhyaye S (2018) Applications of FAHP in analysing energy systems. In: Emrouznejad A, Ho W (eds) Fuzzy analytic hierarchy process. CRC Press, Boca Raton FL USA, pp 311–326
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Julian, A., Marian Jose, J. (2021). Multi-criteria Leader Selection in Ad Hoc Networks Using Fuzzy Analytical Hierarchy Process. In: Komanapalli, V.L.N., Sivakumaran, N., Hampannavar, S. (eds) Advances in Automation, Signal Processing, Instrumentation, and Control. i-CASIC 2020. Lecture Notes in Electrical Engineering, vol 700. Springer, Singapore. https://doi.org/10.1007/978-981-15-8221-9_269
Download citation
DOI: https://doi.org/10.1007/978-981-15-8221-9_269
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-8220-2
Online ISBN: 978-981-15-8221-9
eBook Packages: EngineeringEngineering (R0)