AHP–neutrosophic decision model for selection of relay node in wireless body area network. Issue 3 (21st May 2020)

• Record Type: Journal Article
• Authors: Bilandi, Naveen; Verma, Harsh K.; Dhir, Renu
• Is Part Of: CAAI transactions on intelligence technology. Volume 5:Issue 3(2020)
• Page Start: 222
• Page End: 229
• Publication Date: 2020-05-21
• Subjects: body area networks -- health care -- analytic hierarchy process -- patient monitoring; WBAN -- hybrid analytic hierarchy process–neutrosophic method -- relay node selection -- analytic hierarchy process technique -- neutrosophic technique -- multicriteria decision‐making techniques -- energy consumption -- network‐stability -- AHP–neutrosophic decision model -- wireless body area network -- medical health systems -- personalised health monitoring -- real‐time health issues -- human body; Artificial intelligence -- Periodicals; Computer science -- Periodicals; Artificial intelligence; Computer science; Electronic journals; Periodicals; 006.305
• DOI: 10.1049/trit.2020.0059
• Languages: English
• ISSNs: 2468-6557

Abstract

Abstract : The medical health systems empowered by wireless body area networks (WBANs) are becoming a reliable technology with unmatched facilities for personalised health monitoring and managing real‐time health issues. A WBAN is primarily composed of a miniature, and smart devices called sensors that are worn in, on, or around the human body. In recent years, research has been mainly centred towards the reduction of the energy consumption and stability of the network. The selection of the relay node is one of the foremost issues for balancing the energy consumption in WBAN. To overcome this issue, the authors propose a hybrid analytic hierarchy process–neutrosophic method for making the decision of the relay node selection, in which the analytic hierarchy process (AHP) technique calculates the weights for different criteria and forwards them to the neutrosophic technique which finds out the best alternative solution or choice which is closest to the ideal solution. A detailed analysis is carried out on multi‐criteria decision‐making techniques by comparing the proposed AHP–neutrosophic and AHP techniques taking into account various criteria and alternatives. The experimental outcomes of this research indicate a significant reduction in terms of energy consumption and enhanced overall network‐stability.