cluster based cross layer intelligent service discovery for mobile ad-hoc networks

نویسندگان
چکیده

the ability to discover services in mobile ad hoc network (manet) is a major prerequisite. cluster basedcross layer intelligent service discovery for manet (cbisd) is cluster based architecture, caching ofsemantic details of services and intelligent forwarding using network layer mechanisms. the cluster basedarchitecture using semantic knowledge provides scalability and accuracy. also, the minimum clusterforwarding (mcf) algorithm will find the remote services. it reduces network traffic and increasesbandwidth utilization. the ability to discover services in mobile ad hoc network (manet) is a majorprerequisite. cluster based cross layer intelligent service discovery for manet (cbisd) is cluster basedarchitecture, caching of semantic details of services and intelligent forwarding using network layermechanisms. the cluster based architecture using semantic knowledge provides scalability and accuracy.also, the minimum cluster forwarding (mcf) algorithm will find the remote services. it reduces networktraffic and increases bandwidth utilization.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Cluster Based Cross Layer Intelligent Service Discovery for Mobile Ad-Hoc Networks

The ability to discover services in Mobile Ad hoc Network (MANET) is a major prerequisite. Cluster basedcross layer intelligent service discovery for MANET (CBISD) is cluster based architecture, caching ofsemantic details of services and intelligent forwarding using network layer mechanisms. The cluster basedarchitecture using semantic knowledge provides scalability and accuracy. Also, the mini...

متن کامل

Cluster Based Cross Layer Intelligent Service Discovery for Mobile Ad-Hoc Networks

The ability to discover services in Mobile Ad hoc Network (MANET) is a major prerequisite. Cluster based cross layer intelligent service discovery for MANET (CBISD) is cluster based architecture, caching of semantic details of services and intelligent forwarding using network layer mechanisms. The cluster based architecture using semantic knowledge provides scalability and accuracy. Also, the m...

متن کامل

ADAPTIVE ORDERED WEIGHTED AVERAGING FOR ANOMALY DETECTION IN CLUSTER-BASED MOBILE AD HOC NETWORKS

In this paper, an anomaly detection method in cluster-based mobile ad hoc networks with ad hoc on demand distance vector (AODV) routing protocol is proposed. In the method, the required features for describing the normal behavior of AODV are defined via step by step analysis of AODV and independent of any attack. In order to learn the normal behavior of AODV, a fuzzy averaging method is used fo...

متن کامل

Determining Cluster-Heads in Mobile Ad-Hoc Networks Using Multi-Objective Evolutionary based Algorithm

A mobile ad-hoc network (MANET), a set of wirelessly connected sensor nodes, is a dynamic system that executes hop-by-hop routing independently with no external help of any infrastructure. Proper selection of cluster heads can increase the life time of the Ad-hoc network by decreasing the energy consumption. Although different methods have been successfully proposed by researchers to tackle...

متن کامل

Cross-Layer Service Discovery Mechanism for OLSRv2 Mobile Ad Hoc Networks

Service discovery plays an important role in mobile ad hoc networks (MANETs). The lack of central infrastructure, limited resources and high mobility make service discovery a challenging issue for this kind of network. This article proposes a new service discovery mechanism for discovering and advertising services integrated into the Optimized Link State Routing Protocol Version 2 (OLSRv2). In ...

متن کامل

منابع من

با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید


عنوان ژورنال:
journal of artificial intelligence in electrical engineering

جلد ۱، شماره ۳، صفحات ۲۰-۲۸

کلمات کلیدی

میزبانی شده توسط پلتفرم ابری doprax.com

copyright © 2015-2023