Load Balancing Clustering Algorithm in Mobile Grid

2010 ◽  
Author(s):  
Du Li-juan ◽  
Ju Hong-jun
Keyword(s):  
Load Balancing ◽  
Clustering Algorithm ◽  
Mobile Grid

scholarly journals CAPNet: An Enhanced Load Balancing Clustering Algorithm for Prolonging Network Lifetime in WSNs

2014 ◽  
Vol 10 (2) ◽  
pp. 234394 ◽  
Author(s):  
Mucheol Kim ◽  
Sunhong Kim ◽  
Jiwan Seo ◽  
Kiseok Choi ◽  
Sangyong Han
Keyword(s):  
Load Balancing ◽  
Network Lifetime ◽  
Clustering Algorithm

scholarly journals A cluster based load balancing in long term evaluation self optimization network

2017 ◽  
Vol 7 (1.3) ◽  
pp. 9
Author(s):  
R. Nandhini ◽  
R. Udaya Nirmala Mary
Keyword(s):  
Load Balancing ◽  
Clustering Algorithm ◽  
Load Transfer ◽  
Cluster Head ◽  
Convergence Time ◽  
Ping Pong ◽  
Hidden Node ◽  
Term Evaluation ◽  
Multiple Cells

Load Balancing (lb) is an important use case in long-term evaluation (lte) self-optimizing networks (sons). To overcome the potential ping-pong load transfer and low-convergence issues, we propose a clustering algorithm in lte son  to solve the asymmetry traffic distribution among multiple cells .The proposed algorithm, which is referred to as clustering algorithm which optimally redistributes the load of cells to the multiple cells on clustering. Thus the clustered nodes formed selects the cluster head based upon the efficiency of the node. The cluster head is responsible for gathering the information about all the nodes within and outside the cluster, thus the speed gets increased and convergence time gets reduced by this method the hidden node problem gets avoided by implementing the enhanced protocol.

Mobility-aware balanced scheduling algorithm in mobile Grid based on mobile agent

2014 ◽  
Vol 29 (4) ◽  
pp. 409-432 ◽  
Author(s):  
Jonghyuk Lee ◽  
Sungjin Choi ◽  
Taeweon Suh ◽  
Heonchang Yu
Keyword(s):  
Load Balancing ◽  
Mobile Devices ◽  
Scheduling Algorithm ◽  
Superior Performance ◽  
Battery Life ◽  
Location Awareness ◽  
Message Delivery ◽  
Mobile Grid ◽  
Fixed Grid ◽  
Grid Resources

AbstractThe emerging Grid is extending the scope of resources to mobile devices and sensors that are connected through loosely connected networks. Nowadays, the number of mobile device users is increasing dramatically and the mobile devices provide various capabilities such as location awareness that are not normally incorporated in fixed Grid resources. Nevertheless, mobile devices exhibit inferior characteristics such as poor performance, limited battery life, and unreliable communication, compared with fixed Grid resources. Especially, the intermittent disconnection from network owing to users’ movements adversely affects performance, and this characteristic makes it inefficient and troublesome to adopt the synchronous message delivery in mobile Grid. This paper presents a mobile Grid system architecture based on mobile agents that support the location management and the asynchronous message delivery in a multi-domain proxy environment. We propose a novel balanced scheduling algorithm that takes users’ mobility into account in scheduling. We analyzed users mobility patterns to quantitatively measure the resource availability, which is classified into three types: full availability, partial availability, and unavailability. We also propose an adaptive load-balancing technique by classifying mobile devices into nine groups depending on availability and by utilizing adaptability based on the multi-level feedback queue to handle the job type change. The experimental results show that our scheduling algorithm provides a superior performance in terms of execution times to the one without considering mobility and adaptive load-balancing.

Maintenance and Update of Load-Balancing Clustering Algorithm of WSN for Data Gathering

2013 ◽  
Vol 380-384 ◽  
pp. 1677-1680
Author(s):  
Xin Fang Yan ◽  
Yong Kun Zhang ◽  
Hai Ling Tang ◽  
Xiao Xiao Wang
Keyword(s):  
Load Balancing ◽  
Optimization Algorithm ◽  
Clustering Algorithm ◽  
Data Gathering ◽  
Practical Application

This paper introduces a Load-balancing Clustering Algorithm of WSN for Data Gathering (LCA-DG), so that the energy is distributed evenly between each cluster, thus prolonging the lifetime of network. A fast local maintenance and update algorithm is proposed on the basis of the optimization algorithm in this article, to make sure that the network will be able to restore quickly and operate normally after adding or removing nodes, so that this algorithm has good expansibility and self-recovery ability, and more in line with the needs of practical application.

Sign in / Sign up

Export Citation Format

Share Document