Central Management and Tree Based Auto-configuration in MANET

Zhang, Ning; Lee, Sanmin; Nam, Kiho; Kim, Jongwan; Yoo, Jae-Pil; Kim, Kee-Cheon

doi:10.1109/icacc.2009.113

Cited by 1 publication

(1 citation statement)

References 12 publications

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“…The MANET, consists of independent (autonomous) computers, referred as nodes, in which each one collaborates by forwarding the packets to/between each other, so that they communicate with outside range of direct wireless transmission. In the Mobile Adhoc NETwork, it is not necessary to have a centralized administration control or fixed network infrastructure as required in traditional networks [10]. At any instance of time the information access point can be created quickly and inexpensively as needed.…”

Section: Introductionmentioning

confidence: 99%

Improving Life of Self-Configuring Wireless Sensor Network using Clustering Mechanism

Mulge¹

2019

CVRJST

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Mobile Adhoc NETwork, popularly known as MANET, is one of the networks, which is dynamic in nature, due to the reason that the nodes are added and removed as per the need. Hence, the architecture of the network is changing continuously with reference to the addition or removal of the nodes. To acquire efficient functionality from the network, the network is set to configure automatically [7]. Another associated task in this dynamic network is the inclusion of new node to the network at any instance of time. Due to this the N/w size grows drastically, as a result of which, managing the nodes in the n/w becomes tedious and the dynamic behavior of the n/w becomes more critical [8]. In proposed and implemented work, I have designed an Intelligent Auto configuration (IAC) method in Mobile Adhoc NETworks, in which efficiency and reliability has improved significantly, compared to the traditional, Dynamic Address Allocation (DAA), in Mobile Adhoc networks. In this research work, the n/w is divided into small segments called clusters and each cluster is controlled by a Cluster Head (CH), which will be defined under multiple parameters including Connectivity vector, Stability vector, and Trust vector. In this network, the overload and under load conditions are managed with the help of Wireless Sensor network, reconfigured for a particular Cluster [9]. The overload is the condition, where, the number of packets is beyond the capacity of network interface queue size and underload condition is that, the number of packets in the network is very less, so that, most of the time the network is idle. In the proposed work I have used Matlab for its implementation.

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Section: Introductionmentioning

confidence: 99%

Improving Life of Self-Configuring Wireless Sensor Network using Clustering Mechanism

Mulge¹

2019

CVRJST

View full text Add to dashboard Cite

show abstract

Central Management and Tree Based Auto-configuration in MANET

Cited by 1 publication

References 12 publications

Improving Life of Self-Configuring Wireless Sensor Network using Clustering Mechanism

Improving Life of Self-Configuring Wireless Sensor Network using Clustering Mechanism

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