Multicast Mobility in Mobile IP Version 6 (MIPv6) : Problem Statement and Brief Survey

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Mobile Networking

We point out the different performance problems that need to be addressed when considering mobility in IP networks. We also define the reference architecture and present a framework to classify the different solutions for mobility management in IP networks. The performance of the major candidate micro-mobility solutions is evaluated for both real-time (UDP) and data (TCP) traffic through simulation and by means of an analytical model. Using these models we compare the performance of different mobility management schemes for different data and real-time services and the network resources that are needed for it. We point out the problems of TCP in wireless environments and review some proposed enhancements to TCP that aim at improving TCP performance. We make a detailed study of how some of micro-mobility protocols namely Cellular IP, Hawaii and Hierarchical Mobile IP affect the behavior of TCP and their interaction with the MAC layer. We investigate the impact of handoffs on TCP by means of simulation traces that show the evolution of segments and acknowledgments during handoffs.Publicad

A framework of a route optimization scheme for nested mobile network

Network mobility technology is now being accomplished with the foundation of NEMO (NEtwork MObility), developed by Internet Engineering Task Force (IETF). Although, it achieves optimal and continuous communication, it still suffers from some limitations, especially when the level of nesting increases. To overcome these drawbacks, this paper will present a route optimization framework for nested mobile network using hierarchical structure with Binding Update Tree (BUT). This framework should reduce packet overhead, handoff latency, packet transmission delay, and achieve optimal routing. At last, a comparison will be done with bi-directional tunneling used by NEMO Basic Support to evaluate the performance of the proposed framework

A novel Big Data analytics and intelligent technique to predict driver's intent

Modern age offers a great potential for automatically predicting the driver's intent through the increasing miniaturization of computing technologies, rapid advancements in communication technologies and continuous connectivity of heterogeneous smart objects. Inside the cabin and engine of modern cars, dedicated computer systems need to possess the ability to exploit the wealth of information generated by heterogeneous data sources with different contextual and conceptual representations. Processing and utilizing this diverse and voluminous data, involves many challenges concerning the design of the computational technique used to perform this task. In this paper, we investigate the various data sources available in the car and the surrounding environment, which can be utilized as inputs in order to predict driver's intent and behavior. As part of investigating these potential data sources, we conducted experiments on e-calendars for a large number of employees, and have reviewed a number of available geo referencing systems. Through the results of a statistical analysis and by computing location recognition accuracy results, we explored in detail the potential utilization of calendar location data to detect the driver's intentions. In order to exploit the numerous diverse data inputs available in modern vehicles, we investigate the suitability of different Computational Intelligence (CI) techniques, and propose a novel fuzzy computational modelling methodology. Finally, we outline the impact of applying advanced CI and Big Data analytics techniques in modern vehicles on the driver and society in general, and discuss ethical and legal issues arising from the deployment of intelligent self-learning cars

Mobile-IP ad-hoc network MPLS-based with QoS support.

The support for Quality of Service (QoS) is the main focus of this thesis. Major issues and challenges for Mobile-IP Ad-Hoc Networks (MANETs) to support QoS in a multi-layer manner are considered discussed and investigated through simulation setups. Different parameters contributing to the subjective measures of QoS have been considered and consequently, appropriate testbeds were formed to measure these parameters and compare them to other schemes to check for superiority. These parameters are: Maximum Round-Trip Delay (MRTD), Minimum Bandwidth Guaranteed (MBG), Bit Error Rate (BER), Packet Loss Ratio (PER), End-To-End Delay (ETED), and Packet Drop Ratio (PDR) to name a few. For network simulations, NS-II (Network Simulator Version II) and OPNET simulation software systems were used.Dept. of Electrical and Computer Engineering. Paper copy at Leddy Library: Theses & Major Papers - Basement, West Bldg. / Call Number: Thesis2005 .A355. Source: Masters Abstracts International, Volume: 44-03, page: 1444. Thesis (M.Sc.)--University of Windsor (Canada), 2005

Performance aAnalysis of HRO-B+ scheme for the nested mobile networks using OPNet

As a demand of accessing Internet is increasing dramatically, host mobility becomes insufficient to fulfill these requirements. However, to overcome this limitation, network mobility has been introduced. One of its implementation is NEMO Basic Support protocol which is proposed by Internet Engineering Task Force (IETF). In NEMO, one or more Mobile Router(s) manages the mobility of the network in a way that its nodes would be unaware of their movement. Although, it provides several advantages, it lacks many drawbacks in term of route optimization especially when multiple nested mobile networks are formed. This paper presents a new hierarchical route optimization scheme for nested mobile networks using Advanced Binding Update List (BUL+), which is called HRO-B+. From performance evaluation, it shows that this scheme performs better in terms of throughput, delay, response time, and traffic, and achieves optimal routing. Keywords: Mobile IPv6, Network Mobility (NEMO), Route Optimization, OPNe

Design a new proposed route optimization scheme based NEMO-Centric MANEMO (NCM)

Route Optimization (RO) refers to any approach that optimizes the transmission of packets between a Mobile Network Node/Mobile Router and a Corresponding Node/Home Agent. RO would mean that a binding between the address of an MNN/MR and the location of the mobile network is registered at the CE/HA. Technically, route optimization mechanism comes up with a complementing solution for the pinball problem by avoiding the MRHA Bidirectional Tunnel(BT) that is to be used. This paper discusses the RO issues for NEMO and more specifically issues of Nested NEMO such astunneling redundant, HA dependency, processing delay, bottleneck, traffic congestion, ER selection, and scalability in the design consideration. In order to address NEMO ROsuboptimal, this work utilizes the NCM protocol plus to PHA. The proposed MANEMO RO scheme is a layer three solution to support RO for mobile networks. Additionally, the paper proposes the design to address Nested NEMO issues in a post disaster scenario by using Proxy Home Agent (PHA) in the infrastructure with using Neighbor Discovery protocol(TDP/NINA) for localizing communications. Thus, thesignaling message flow and the algorithm are written to give proposed scheme more flexibilit