Optimal path planning approach to Grid environment

Suresh, Shanmugasundaram and Poornaselvan, Jeeva and Divyapreya, Chidambaram (2011) Optimal path planning approach to Grid environment. Pollack Periodica, 6 (1). pp. 131-140. ISSN 1788-1994

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Abstract

Resource Providers & Consumers to navigate purposefully in Grid ambience needs three basic requirements: sensing the nodes, learning and reasoning the budget. In the existing system this is accomplished in a known environment in a predefined path. However, the pervasive presence of uncertainty in sensing and learning makes the choice of a suitable tool of reasoning and decision making that can deal with incomplete information, vital to ensure a robust Grid system. This problem can be overcome by the proposed navigation method using Fuzzy Support Vector Machine (FSVM). It proposes a fuzzy logic based SVM approach to secure a collision free path avoiding multiple dynamic obstacles. The navigator consists of an FSVM -Based Collision Avoidance. The decisions are taken at each step for the providers & consumers to negotiate without collision. Fuzzy-SVM rule bases are built, which requires simple evaluation data based on the active participants in the grid at a given point of time. The effectiveness of the proposed method is verified by a series of simulations and implemented with a BOINC Manager.

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