Informatics Publishing Limited

T. Dhanabalu ¹, M. Yuvaraja ¹, S. Vishnu Gopeka ¹, B. Sharanya ¹

Affiliations
1 Department of Electronics and Communication Engineering, P. A. College of Engineering and Technology, IN

Abstract

The underwater wireless sensor networks poses many challenges due to critical underwater environment such as large propagation delay and limited bandwidth capacity of acoustic channels. The sensor nodes under mobility causes the problem of delay, more energy consumption and undetermined propagation losses. In this paper we propose a routing protocol based on geographical dynamic routing (DTDRP) to address some of these problems. We focus on minimizing the delay and maximizing the throughput thereby increasing the energy efficiency. The simulations are carried out to analyze the performance of the proposed algorithm by comparing with the existing protocols in underwater environment conditions.

Keywords

Underwater Wireless Sensor Networks, DTDRP, Underwater Topology, Performance Analysis.

Full Text

     

M. Yuvaraja , S. Thavamani

Abstract

Sentiment Analysis (SA) performs on specific domain to achieve higher level of accuracy. Extracting the unstructured data sentimental analyses plays a major role. SA is mainly for automatically predict sentiment polarity of positive or negative aspects of data. Sentiment Analysis problem is machine learning problems which provide the outcome based of supervised and unsupervised methods using labeled and unlabeled data. By extracting the data from this cross domain many techniques were used. This paper provides survey on sentiment analysis of various techniques, methods, algorithm and tools of SA to adapt the data in source and target domain to extract the relevant knowledge.

Keywords

Sentiment Analyses (SA), Survey. Cross Domain Analyses, SA Techniques and SA Methods.

Full Text