scholarly journals Advances in IP Micromobility Management Using a Mobility-Aware Routing Protocol

2007 ◽  
Vol 2007 ◽  
pp. 1-4
Author(s):  
Michael Georgiades ◽  
Kar Ann Chew ◽  
Rahim Tafazolli
Keyword(s):  
Routing Protocol ◽  
Mobility Management ◽  
Mobile Ip ◽  
Ip Address ◽  
Delivery Delay ◽  
Mobility Management Protocols ◽  
Cellular Ip ◽  
Routing Method ◽  
End To End ◽  
Routing Methods

Several micromobility schemes have been proposed to augment Mobile IP and provide a faster and smoother handoff than what is achievable by Mobile IP alone, the majority of which can be categorized into either “network prefix-based” or “host-specific forwarding” mobility management protocols, depending on the routing method used. This letter proposes a mobility-aware routing protocol (MARP) which makes use of both of these routing methods using dynamic IP address allocation. Its performance is evaluated and compared against hierarchical Mobile IP (HMIP) and Cellular IP based on handoff performance, end-to-end delivery delay, and scalability. The results demonstrate that MARP is a more robust, flexible, and scalable micromobility protocol, minimizes session disruption, and offers improvements in handoff performance.

Performance comparison of end-to-end mobility management protocols for TCP

2012 ◽  
Vol 35 (6) ◽  
pp. 1657-1673 ◽  
Author(s):  
Peer Azmat Shah ◽  
Muhammad Yousaf ◽  
Amir Qayyum ◽  
Halabi B. Hasbullah
Keyword(s):  
Mobility Management ◽  
Performance Comparison ◽  
Mobility Management Protocols ◽  
End To End

scholarly journals Modelling and Quantitative Analysis of LTRACK–A Novel Mobility Management Algorithm

2006 ◽  
Vol 2 (1) ◽  
pp. 21-50 ◽  
Author(s):  
Benedek Kovács ◽  
M. Szalay ◽  
S. Imre
Keyword(s):  
Quantitative Analysis ◽  
Mobility Management ◽  
Management Strategy ◽  
Mobile Ip ◽  
Mobile Node ◽  
Qualitative And Quantitative Analysis ◽  
Qualitative And Quantitative ◽  
Management Algorithm ◽  
Optimal Values ◽  
Cellular Ip

This paper discusses the improvements and parameter optimization issues of LTRACK, a recently proposed mobility management algorithm. Mathematical modelling of the algorithm and the behavior of the Mobile Node (MN) are used to optimize the parameters of LTRACK. A numerical method is given to determine the optimal values of the parameters. Markov chains are used to model both the base algorithm and the so-called loop removal effect. An extended qualitative and quantitative analysis is carried out to compare LTRACK to existing handover mechanisms such as MIP, Hierarchical Mobile IP (HMIP), Dynamic Hierarchical Mobility Management Strategy (DHMIP), Telecommunication Enhanced Mobile IP (TeleMIP), Cellular IP (CIP) and HAWAII. LTRACK is sensitive to network topology and MN behavior so MN movement modelling is also introduced and discussed with different topologies. The techniques presented here can not only be used to model the LTRACK algorithm, but other algorithms too. There are many discussions and calculations to support our mathematical model to prove that it is adequate in many cases. The model is valid on various network levels, scalable vertically in the ISO-OSI layers and also scales well with the number of network elements.

Catechize Global Optimization through Leading Edge Firefly Based Zone Routing Protocol

2020 ◽  
Vol 13 (2) ◽  
pp. 147-157 ◽  
Author(s):  
Neha Sharma ◽  
Sherin Zafar ◽  
Usha Batra
Keyword(s):  
Global Optimization ◽  
Routing Protocol ◽  
Firefly Algorithm ◽  
Leading Edge ◽  
Packet Delivery Ratio ◽  
Delivery Ratio ◽  
Packet Delivery ◽  
Zone Routing Protocol ◽  
End To End Delay ◽  
End To End

Background: Zone Routing Protocol is evolving as an efficient hybrid routing protocol with an extremely high potentiality owing to the integration of two radically different schemes, proactive and reactive in such a way that a balance between control overhead and latency is achieved. Its performance is impacted by various network conditions such as zone radius, network size, mobility, etc. Objective: The research work described in this paper focuses on improving the performance of zone routing protocol by reducing the amount of reactive traffic which is primarily responsible for degraded network performance in case of large networks. The usage of route aggregation approach helps in reducing the routing overhead and also help achieve performance optimization. Methods: The performance of proposed protocol is assessed under varying node size and mobility. Further applied is the firefly algorithm which aims to achieve global optimization that is quite difficult to achieve due to non-linearity of functions and multimodality of algorithms. For performance evaluation a set of benchmark functions are being adopted like, packet delivery ratio and end-to-end delay to validate the proposed approach. Results: Simulation results depict better performance of leading edge firefly algorithm when compared to zone routing protocol and route aggregation based zone routing protocol. The proposed leading edge FRA-ZRP approach shows major improvement between ZRP and FRA-ZRP in Packet Delivery Ratio. FRA-ZRP outperforms traditional ZRP and RA-ZRP even in terms of End to End Delay by reducing the delay and gaining a substantial QOS improvement. Conclusion: The achievement of proposed approach can be credited to the formation on zone head and attainment of route from the head hence reduced queuing of data packets due to control packets, by adopting FRA-ZRP approach. The routing optimized zone routing protocol using Route aggregation approach and FRA augments the QoS, which is the most crucial parameter for routing performance enhancement of MANET.

Cluster-grid structure routing protocol for sensor mobility management

2007 ◽  
Author(s):  
Jiann-Liang Chen ◽  
Ming-Chiao Chen ◽  
Po-Yueh Huang ◽  
Yao-Chung Chang
Keyword(s):  
Routing Protocol ◽  
Mobility Management ◽  
Grid Structure
Sign in / Sign up

Export Citation Format

Share Document