Optimal path planning for intelligent automated wheelchair using DDSRPSO. Issue 1 (2nd November 2020)

• Record Type: Journal Article
• Authors: Thirugnanasambandam, Kalaipriyan; R.S., Raghav; Loganathan, Jayakumar; Dumka, Ankur; V., Dhilipkumar
• Is Part Of: International journal of pervasive computing and communications. Volume 17:Issue 1(2021)
• Page Start: 109
• Page End: 120
• Publication Date: 2020-11-02
• Subjects: PSO -- Automated wheelchair -- DDSRPSO -- Optimal path planning -- SRPSO; Ubiquitous computing -- Periodicals; Mobile computing -- Periodicals; Computer network protocols -- Periodicals; Computer network architectures -- Periodicals; Application software -- Development -- Periodicals; 004.6
• DOI: 10.1108/IJPCC-05-2020-0033
• Languages: English
• ISSNs: 1742-7371

Abstract

Abstract : Purpose: This paper aims to find the optimal path using directionally driven self-regulating particle swarm optimization (DDSRPSO) with high accuracy and minimal response time. Design/methodology/approach: This paper encompasses optimal path planning for automated wheelchair design using swarm intelligence algorithm DDSRPSO. Swarm intelligence is incorporated in optimization due to the cooperative behavior in it. Findings: The proposed work has been evaluated in three different regions and the comparison has been made with particle swarm optimization and self-regulating particle swarm optimization and proved that the optimal path with robustness is from the proposed algorithm. Originality/value: The performance metrics used for evaluation includes computational time, success rate and distance traveled.