Path Restoration In MPLS Manet Network To Achieve Better Bandwidth Utilization With Minimum Delay And Energy Consumption

Abstract

Mobile Ad-hoc Network (MANET) is an autonomous system having newlinecollection of mobile nodes that are connected using the wireless links. MANET is newlinegenerally a collection of mobile nodes such as mobile laptop, personal digital assistant newlineand smart phones that transmit the data through the bandwidth constrained wireless newlinelinks. The major features of the MANET are high user density, multi-hop routing, no newlinecentralized point, and high degree of mobility, free movement of nodes, shared newlinephysical medium, dynamic topology and scalability. Hence, the MANET newlineaccomplishes various operations such as route maintenance, route discovery in a selforganized newlineand cooperative manner. Moreover, this MANET is applied in various newlineapplications where infrastructure is not required in domains such as disaster newlinemanagement, emergency applications, commercial applications and military field newlinecommunications. In MANET, the Multiprotocol Label Switching (MPLS) is used to newlinehandle end to end connection in a dynamic ally changing network structure due to newlinemobile nodes. The MPLS provides important advantages to the network using the fast newlineforwarding Internet Protocol (IP) packets. This MPLS is used to transmit the data newlinepackets from one router to another router by using short label paths. However, the newlinebattery power and bandwidth are limited due to the random nature of mobile nodes in newlineMANET. The link or node vulnerability and instability occur because of the battery newlinepower limitation and randomness of mobile nodes during the data transmission. newlineAdditionally, the dynamic topology of the network creates the network partition and newlineunreliability which creates higher delay during the data transmission. The first work newlinewas on proposing a faster path restoration by optimized Fuzzy Logic Controller based newlineRouting (FLCR) using Particle Swarm Optimization (PSO) algorithm. Here, three newlinedifferent values are considered for the membership function of FLCR such as residual