International Journal of Advanced Networking and Applications

3843-3852

Authors: KamelyaDehghaniKohnehshahri, Mohammad Hasan Kargar, Fatemeh Soleimani-Roozbahani 1

Over the past few years, protocols, implementations, and optimal uses and the use of internet of things have grown dramatically. Among the communication protocols, the COAP is the most distinctive one. The protocol, has the ability of better and lighter performance in restricted resource networks and devices. There are a lot of implementations about COAP each has its own features and supplies. So, selecting the factors having effects on improvement of COAP protocol and also the implementation method suitable for the features of each of these supplies is important. So, optimal communication protocol which reduces traffic load is highly important and is now, of the main challenges in the IOT industry and smart houses which, in recent years, has attracted many researchers’ attention. This study provides some features and an analytical comparison of many variables influencing the optimal performance of COAP. The present study has been conducted to answer the main question of the study: does the use of COAP have any effects on reducing energy consumption in the smart houses? The study has been conducted in the Uromieh Culture House and while studying the effective factors or important variables in improving the COAP performance, has tested the accuracy or inaccuracy of the hypotheses such as the main hypothesis of the study that there is a meaningful and positive relationship between using the COAP protocol and reducing energy consumption in organizations. Finally, a new approach will be introduced in this research causing improvement in the COAP efficiency. Then, its performance will be analyzed regarding reducing in energy consumption, delay in sending data, reducing memory and CPU consumption, the amount of information transmitted in each communication, firmness in failure and technological innovation. The present study aims at identifying the effect of using the COAP protocol on reducing energy consumption in the smart houses, Uromieh Culture House and ranking the factors influencing the implementation of performance improvement based on the smart houses. The paradigm of the present study is interpretive. In terms of purpose, the present study is of applied kind, in terms of data collection is of pluralistic one, in terms of procedure is of field and library one, in terms of data analysis method is a descriptive study and finally, in terms of time is a cross sectional one. The statistical sample of the present study’s statistical society includes 49 people of the staff of the Uromieh Culture House who participate in the study as experts and professionals in IOT and new and emerging technologies of the smart houses fields. The results of data analysis show that the most effective factor in implementing the COAP protocol successfully on reducing energy consumption in the smart houses is to reduce energy consumption and the innovative technology factor has the least effect on successful implementation of the protocol.

3860-3863

Authors: Ms. R. Mahalakshmi; Dr. M. Nandhini; Ms. G. Kowsalya

In recent times, Social media has emerged as a personal communication media, as well as, a media to convey reviews about items and benefits or even political and general occasions among its clients. By using web and the web 2.0 the information in Twitter, Facebook and Instagram are easily retrieved. Because of its use across the board and prevalence, there is a monstrous measure of client surveys or feelings delivered and shared day by day. Mining client sentiments from Social Media is definitely not a straight forward assignment; it can be proficient in various ways. Gathering client sentiments can be costly and tedious assignment utilizing traditional strategies. This paper examines the challenges in doing sentimental analysis for Social Media.

3880-3887

Authors: Rajkumar; Dr H G Chandrakanth

Wireless Sensor Networks have come to the forefront of the scientific community recently and it consists of small nodes with sensing, Communications and computing capabilities. The Wireless Sensor Network Systems can be applied to monitor different environments. In WSN, sensor nodes play the most prominent role. These sensor nodes batteries are replacing or recharging is impossible, it is essential to find energy efficient routing algorithm. In this paper, we survey the features / characteristics and different well-know energy efficient cluster routing algorithms for WSNs have been classified and presented based on their characteristics.

3893-3897

Authors: Prashant Sangulagi; Ashok V Sutagundar; Stelvarani S

Mobiles are equipped with sensors like accelerometer, magnetic subject, and air strain meter, which assist within the system of extracting context of the person like area, scenario and so on. But, processing the extracted sensor facts is generally an aid intensive assignment, which can be offloaded to the general public cloud from mobiles. Mobile devices have become an essential part of our day to day life by which the user is able to access, create and share information at any location. This design especially objectives at extracting beneficial statistics from the accelerometer sensor records. The design proposes the utilization of parallel computing to the use of Map Reduce at the cloud for spotting human behavior primarily based on classifiers and ultimately calculating its accuracy. The sensor facts is extracted from the cellular, sent to the cloud and processed using threepopular classifier algorithms namely, Kernel Naïve Bayes, Naive Byes Classifier and K-Nearest-Neighbors. The results are verified at different scenarios of human activity and finally the accuracy is calculated using the classification algorithms.