Autosoft Journal

Online Manuscript Access

A Cooperative Dynamic Cluster in Multitasking Mobile Networks



Cluster as a classical paradigm has been often used in a multitasking mobile network and evolved into a dynamic cluster, which is motivated by the tasks with dynamic scale and nodal locations. An important question is how to synthesize the power of multiply members in a dynamic cluster and enhance the overall performance of the network. The almost universal setting is that most clusters are based on the fully connected network and the same level of tasks. To solve these questions, it should evaluate and develop the cooperation between nodes in a dynamic cluster and further propose a corresponding cooperation model. In this paper, the theoretical analysis and the basic models of cluster and dynamic cluster are introduced at first. Then an improved cooperation model of a dynamic cluster is proposed in multitasking mobile networks, which is named, cooperative dynamic cluster. As the main elements of the proposed model, the network connectivity and task priorities are also considered and discussed. Finally, a cooperative message forwarding mechanism is established to settle the cluster, the scales of which should be bounded at a reasonable level in view of a time cost. Simulation results demonstrate the efficiency of our proposed cooperative model was higher than the general dynamic cluster and normal method without cluster, respectively about 14% and 66% higher.



Total Pages: 6
Pages: 567-572


Manuscript ViewPdf Subscription required to access this document

Obtain access this manuscript in one of the following ways

Already subscribed?

Need information on obtaining a subscription? Personal and institutional subscriptions are available.

Already an author? Have access via email address?


Volume: 23
Issue: 4
Year: 2017

Cite this document


Gil, A.E. et al. "Cooperative Task Scheduling for Networked Uninhabited Air Vehicles." IEEE Transactions on Aerospace and Electronic Systems 44.2 (2008): 561-581. Crossref. Web.

Mao, Yingchi, Xiaofang Li, and Simon X. Yang. "An Effective Data Gathering Scheme in Heterogeneous Energy Wireless Sensor Networks." Intelligent Automation & Soft Computing 17.8 (2011): 1023-1034. Crossref. Web.

Shivshankar S. IEEE Transactions on Vehicular Technology, PP

Xu, Feng, and Xuan Liu. "Authentication Scheme for Cluster-Structured Ad Hoc Network." Intelligent Automation & Soft Computing 19.2 (2013): 123-131. Crossref. Web.

Zimmermann, H.-J. "Fuzzy Set Theory—and Its Applications." (2001): n. pag. Crossref. Web.


ISSN PRINT: 1079-8587
ISSN ONLINE: 2326-005X
DOI PREFIX: 10.31209
PREVIOUS DOI PREFIX (with T&F): 10.1080/10798587
InCites Journal IMPACT FACTOR (JIF) Data

2018  0.790
2017  0.652
2016  0.644

Scimago Journal and Country Rank (SJR) Data

2018  0.993
2017  0.655
2016  0.660
SJR: "The two years line is equivalent to journal impact factor ™ (Thomson Reuters) metric."

Journal: 1995-Present


TSI Press
18015 Bullis Hill
San Antonio, TX 78258 USA
PH: 210 479 1022
FAX: 210 479 1048