2010 ◽  
Vol 1 (3) ◽  
pp. 130-136 ◽  
Author(s):  
Mohammad Anbar ◽  
Deo Prakash Vidyarthi

Author(s):  
Dhananjay Singh ◽  
Hoon-Jae Lee

This chapter introduces the Proactive Micro Mobility (PMM) Protocol for the optimization of network load. We present a novel approach to design and analyze IP micro-mobility protocols. The cellular Micro Mobility Protocol provides passive connectivity in an intra domain. The PMM Protocol optimizes miss-routed packet loss in Cellular IP under handoff conditions and during time delay. A comparison is made between the PMM Protocol and the Cellular IP showing that they offer equivalent performance in terms of higher bit rates and optimum value. A mathematical analysis shows that the PMM Protocol performs better than the Cellular IP at 1 MHz clock speed and 128 kbps down link bit rate. The simulation shows that a short route updating time is required in order to guarantee accuracy in mobile unit tracking. The optimal rate of packet loss in the PMM Protocol in a Cellular IP are analyzes route update time. The results show that no miss-routed packets are found during handoff.


2007 ◽  
Vol 2 (2/3) ◽  
pp. 109 ◽  
Author(s):  
Eriko Nurvitadhi ◽  
Ben Lee ◽  
Chansu Yu ◽  
Myungchul Kim
Keyword(s):  

Author(s):  
Mohammad Anbar ◽  
Deo Prakash Vidyarthi

Cellular IP networks deal with the concepts of micro-mobility. Buffer management in Cellular IP networks is very crucial as its proper usage not only increases the throughput of the network but also results in the reduction of the call drops. This article proposes a model for buffer management in Cellular IP network using Particle Swarm Optimization (PSO), an evolutionary computational method often used to solve hard problems. The model considers two kinds of buffers; Gateway buffer and Base Station buffer. In the proposed two-tier model, the first tier applies a prioritization algorithm for prioritizing real-time packets in the buffer. In the second tier PSO algorithm is used on a swarm of cells in the network. PSO is applied for a given time slot, called window. In each window period the swarm can store number of packets depending on the window size and the total number of packets. The effect of various parameters e.g. number of packets, size of packets, window size, and a threshold value on buffer utilization has been studied by conducting the simulation experiments.


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