Research on Applying Hierachical Clustered Based Routing Technique Using Artificial Intelligence Algorithms for Quality of Service of Service Based Routing

Abstract

MANET (Mobile Ad-Hoc Network) is autonomous system, not based on existing infrastructure. Nodes usually change their position, network topology changes very fast. Service Based Routing is inherited from the model of Content Based Routing -CBR that manages and classifies many of network services. In order making nodes to communicate quickly and stablely, it requires applying some methodologies to reduce overhead and delay as well as power consumption. Therefore, this paper mentions a hierarchical clustered based routing using Tree.is a data structure with fast algorithms to establish, insert, update. It has been used in many fields effectively and efficiently such as Google Map, Forwarding technique, computer virtual memory. In combination with some artificial intelligence algorithms to make cluster, find optimized routes, multicast trees for effective communication. Fuzzy logic and genetic al. are proved to be very compatible with Manet. A genetic algorithm is used to choose optimized clusters, Fuzzy logic is applied to choose the cluster head and members of each cluster. Multiple paths routing is very importance for routing in MANET that making Quality of Service by Ant Colony Optimization Algorithm.

Building Multile Multicast Trees with Guarranteed QOS for Service Based Routing Using Artificial Algorithms

“…The fuzzy logic [1] is mathematic logical method based on the probabilistic of the related factors. We all know that in reality every thing also has a level of true, especially in MANET, all nodes continuous move with changing velocity and very limited energy.…”

Cloud service analysis using round-robin algorithm for quality-of-service aware task placement for internet of things services

“…Closest data center dynamically reconfigured routing, and performance-optimized routing is several wellknown strategies used in cloud environments [15]. The closest data center is one of the most straightforward techniques for simulating the cloud environment; it uses the generated index to store information about the available virtualized data centers and operates the nearest data center based on its latency for request execution [16]. The service broker uses the performance-optimized routing technique to calculate the performance of all the necessary attributes in the data centers.…”

“…The problem at hand aims to construct a moving horizon estimator that minimizes the estimation error. In matrix inequality, a proper condition is defined to ensure ultimate boundedness [16].…”

Choosing the best quality of service algorithm using OPNET simulation

“…In the past, QoS management generally focus on allocating radio resources to requested services, which are usually driven by some QoS parameters, such as access/transmission delay, jitter and packet loss rate [4]. One of ways to reduce overhead and build multiple pathrouting is to cluster network into some subnets [5]. QoS routing is the first step toward achieving end-to-end QoS guarantees [6].…”