Measuring and Characterizing End-to-End Route Dynamics in the Presence of Load Balancing

2011 ◽  
pp. 235-244 ◽  
Author(s):  
Ítalo Cunha ◽  
Renata Teixeira ◽  
Christophe Diot
Keyword(s):  
Load Balancing ◽  
End To End

scholarly journals Analisis Kinerja GPSR dan AODV pada VANET dengan Skema Pengimbangan Beban Trafik

2018 ◽  
Vol 6 (2) ◽  
pp. 207
Author(s):  
RENDI DIAN PRASETIA ◽  
DOAN PERDANA ◽  
RIDHA MULDINA NEGARA
Keyword(s):  
Load Balancing ◽  
Routing Protocol ◽  
Mean Value ◽  
Packet Delivery Ratio ◽  
Traffic Load ◽  
Delivery Ratio ◽  
Vehicle Traffic ◽  
Packet Delivery ◽  
End To End Delay ◽  
End To End

ABSTRAKSalah satu permasalahan di kota-kota besar adalah kemacetan lalu lintas yang disebabkan karena tidak mencukupinya ruas jalan, volume kendaraan yang begitu besar, persebaran kendaraan yang tidak merata dan lain-lain. Salah satu solusinya adalah para pengendara dapat menggunakan aplikasi peta digital pada smartphone-nya. Oleh karena itu perlu dilakukan pengimbangan beban trafik kendaraan. Pada penelitian ini akan dibahas mengenai kinerja VANET yang menggunakan protokol routing GPSR dan AODV dengan skema pengimbangan beban trafik kendaraan dengan pengaruh kepadatan node. Perancangan sistem simulasi terbagi menjadi dua subsistem yaitu subsistem mobilitas dan jaringan. Kemudian dilakukan pengimbangan beban trafik kendaraan, dan kinerja VANET akan diamati. Performansi dievaluasi dengan average end to end delay, throughput, dan packet delivery ratio. Nilai rata-rata throughput, PDR, delay untuk GPSR adalah 142.21 Kbps, 87.47 %, dan 82.83 ms. Sedangkan AODV adalah 119.81 Kbps, 86.67 %, dan 103.21 ms. Dari hasil penelitian nilai QoS performansi dari routing protocol GPSR lebih baik dari pada AODV pada VANET.Kata kunci: Vanet, Pengimbangan Beban, GPSR, AODV.ABSTRACTOne of the problems in big cities is congestion. The congestion is caused byinsufficient road segment, large volume of vehicles, unbalanced spread ofvehicles and others. One solution is that riders can use digital map applications on their smartphones. Therefore it is necessary to balancing the traffic load of vehicles. In this research will be discussed about VANET performance using GPSR and AODV routing protocol with vehicle traffic load balancing scheme with node density influence. The design of the simulation system is divided into two subsystems namely mobility and network subsystem. Then balancing the vehicle traffic load, and VANET performance will be observed. Performance is evaluated with the average end to end delay, throughput, and packet delivery ratio. The mean value of throughput, PDR, delay for GPSR respectively 142.21 Kbps, 87.47%, and 82.83 ms. While AODV is 119.81 Kbps, 86.67%, and 103.21 ms. From the simulation results can be concluded that the performance of GPSR is better than AODV on VANET. Keywords: Vanet, Load Balancing, GPSR, AODV.

An Adaptive Threshold Load Balancing Scheme for the End-to-End Reconfigurable System

2007 ◽  
Vol 46 (1) ◽  
pp. 47-65 ◽  
Author(s):  
Yongjing Zhang ◽  
Kui Zhang ◽  
Cheng Chi ◽  
Yang Ji ◽  
Zhiyong Feng ◽  
...  
Keyword(s):  
Load Balancing ◽  
Adaptive Threshold ◽  
Reconfigurable System ◽  
End To End

scholarly journals RPL LOAD BALANCING IN INTERNET OF THINGS

2017 ◽  
Vol 18 (2) ◽  
pp. 137-150 ◽  
Author(s):  
Mohammad Reza Parsaei ◽  
Ahmad Reza Parnian ◽  
Samaneh Miri Rostami ◽  
Reza Javidan
Keyword(s):  
Internet Of Things ◽  
Load Balancing ◽  
Low Power ◽  
Packet Delivery Ratio ◽  
Delivery Ratio ◽  
Lossy Networks ◽  
Smart Objects ◽  
Packet Delivery ◽  
End To End Delay ◽  
End To End

ABSTRACT:  The wide address space provided by Internet Protocol version 6 (IPv6) lets any thing to be identified uniquely. consistency of the modified version of IPv6 protocol stack with smart objects, facilitated the Internet interconnection of the networks of smart objects and introduced Internet of things. A smart object is a small micro-electronic device that consists of a communication device, a small microprocessor and a sensor or an actuator. A network made of such devices is called low-power and lossy network. RPL routing protocol that is consistent to IPv6, is designed to be used in these kinds of networks. Load balancing is not considered in the RPL design process. Whenever RPL is used in large scale low-power and lossy networks some nodes will suffer from congestion and this problem severely degrades network performance. In this paper, we consider solutions provided to tackle RPL load balancing problems. Load balancing algorithms and protoclos are evaluated through simulation. We evaluate IETF RPL implementation and LB-RPL method with Contiki OS Java (COOJA) simulator. They are assessed comprehensively through metrics such as Packet delivery Ratio, Average End to End delay, and Gateway Throughput. LB-RPL improves RPL in terms of Packet delivery Ratio and throughput but increases Average End to End delay. Simulations results show that RPL load balancing needs extensive works to be performed yet.

A Load Balancing Algorithm Based on End-to-end Rerouting

2021 ◽  
Author(s):  
Jin Guo ◽  
Mangui Liang ◽  
Zhiyu Liu
Keyword(s):  
Load Balancing ◽  
End To End ◽  
Load Balancing Algorithm

scholarly journals Congestion Aware Multi-Path Routing Protocol with Load Balancing

2017 ◽  
Vol 6 (1) ◽  
pp. 6
Author(s):  
K.Sangeetha Supriya ◽  
M.Gopi Chand ◽  
K.Raja Sekhar
Keyword(s):  
Load Balancing ◽  
Routing Protocol ◽  
Recovery Process ◽  
Correlation Factor ◽  
Control Mechanisms ◽  
End To End Delay ◽  
Multiple Paths ◽  
Additive Increase ◽  
End To End ◽  
Congestion Aware

The multi-path routing protocol is one of the approaches used to have less overhead, better bandwidth cost through the load distribution among a set of paths. However, due to the interference of the paths during the communication, it increases the end to end delay and do not work well under a highly congested network. We have proposed the congestion aware multi-path routing protocol with load balancing. The paper explains the problem associated with the end-to-end delay. It deals with the problem of channel interference during the Multi-path communication. It suggests the congestion control mechanisms to improve the protocol performance. It proposes an additive increase/ multiplicative decrease and fast retransmits and recovery process and also it suggest the algorithm for load balancing scheme. In order to minimize the congestion formation, it selects the node disjoint paths for communication. The correlation factor among the selected multiple paths are calculated. It calculates the congestion formation in the network. It compares the proposed MPR protocol with ordinary DSR through the simulation and the simulation results are discussed.

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