DVRA-SN: NEIGHBOUR BASED DISTANCE VECTOR ROUTING PROTOCOLS FOR MOBILE AD HOC NETWORKS
Published In: 2ND INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, COMMUNICATION AND INFORMATION TECHNOLOGY
Author(s): MRINAL KANTI DEBBARMA , SANTANU K. SEN , SUDIPTA ROY
Abstract: MANET has emerged as one of the most focused and trust research area in the field of wireless networks and wireless mesh networks. A major thrust of the protocol designers towards the development and deployment of distance vector routing based protocols, irrespectively in wired, wireless or even in ad hoc and sensor networks is primarily because of the conceptual and implementation simplicity and elegance coupled with the minimum information requirement by each node. A good amount of research has been done in the past towards the improvement of routing algorithms in MANET, but the area has not become stable till date. This paper proposes a neighbour based routing protocol that supports a mobile node as special neighbours in the network for making packet forwarding decisions and creates route only when desired by the source node as in case of reactive routing protocol.
- Publication Date: 17-Nov-2014
- DOI: 10.15224/978-1-63248-051-4-24
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DIFFERENT TECHNIQUES OF AUTOMATIC FACIAL EXPRESSION RECOGNITION: A SURVEY
Published In: 2ND INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, COMMUNICATION AND INFORMATION TECHNOLOGY
Author(s): ANURAG DE , ASHIM SAHA , M .C. PAL , NIRMALYA KAR
Abstract: Emotion recognition through facial expression detection is one of the important fields of study for human-computer interaction. To detect a facial Expression one system need to come across different variability’s of human faces such as color, posture, expression, orientation, etc. To detect the expression of a human face first it is required to detect the different facial features such as the movements of eye, nose, lips, etc. and then classify them comparing with trained data using a suitable classifier for expression recognition. This paper provides a survey report of implementation of different techniques for expression recognition along with their advantages and drawbacks which will help in further development and improvement of the system.
- Publication Date: 17-Nov-2014
- DOI: 10.15224/978-1-63248-051-4-25
- Views: 0
- Downloads: 0