Abstract
In Mobile Adhoc Networks (MANETs), multicast routing is favorable to minimize the cost of transmission as it routes data to a group of destinations simultaneously. However, the main aim of multicast routing is to maintain energy efficiency, ensure minimum delay and stability of paths. In this study we propose to develop a Predictive Energy efficient and Reliable Multicast Routing using Particle Swarm Optimization (PSO) in MANET. The technique uses PSO algorithm to construct energy efficient and reliable multicast tree. The fitness function of PSO algorithm is designed considering path delay, expected path energy and path stability. The proposed algorithm is simulated in NS-2. The simulation results proved that the proposed algorithm offers energy efficient and reliable multicast routing with low overhead.
Highlights
A group of wireless mobile nodes that dynamically transmits data among themselves without requiring any wireless backbone or fixed base station is referred as Mobile Adhoc Networks (MANETs)
MANET stands as a unique network from others as it does not require any pre-established infrastructure for connecting mobile nodes
We propose to design a predictive energy efficient and reliable multicast routing using Particle Swarm Optimization (PSO) algorithm
Summary
A group of wireless mobile nodes that dynamically transmits data among themselves without requiring any wireless backbone or fixed base station is referred as Mobile Adhoc Networks (MANETs). These mobile nodes are characterized by their dynamic mobility, limited power, processing and memory resources. MANET stands as a unique network from others as it does not require any pre-established infrastructure for connecting mobile nodes. Multicast Routing Problem (MRP) is one of the most demanding problems as it necessitates the source and a set of destinations to be connected with less cost function. Multicast service in MANET should offer seamless and integrated operation regardless of nodes mobility (Pinto and Barán, 2005; Obraczka and Tsudik, 1998)
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