Retransmission Reduction using Checkpoint based Sub-Path Routing for Wireless IoT

Wireless IoT has been one of the major breakthroughs of the current decade. It has improved the quality of life and has also aided in several improvements in domains like healthcare. Effective routing and energy conservation has been the major challenges in creating and maintaining a successful IoT network. This work presents a checkpoint based routing model, CSPR, to improve the transmission efficiency by reducing retransmission. This work selects checkpoints in the network prior to transmission. The checkpoints are used to build the final path. This process ensures that the routes created are dynamic and reactive, leading to improved security and increased path reliability. Comparison with existing routing model shows improved network lifetime and reduced selection overhead levels, exhibiting the high efficiency of CSPR

Tweets Mining: Knowledge from the Social Web

ABSTRACT: In the recent years, Social web mining has gained significant attention with case of it"s an interactive platform via which individual of communities creates and shows user generated content and set of social relations that link people through the world wide web. Social Media becoming most powerful tool for information exchange has not only consumed information but also share and discusses information about aspects of their interest. Information retrieval and Text Mining have gained greater momentum in the recent past. Hence there is a need to mine the social media and generate useful knowledge based on identify interesting pattern from the user. The advantage of social media is the freedom of expressing their thoughts in text without following traditional language grammar"s eventually this becomes the challenge for mining the social media. Moreover the volume of information is too huge and dynamic. The objective of this proposed work is to mine the social media, in our case twitter. The challenge involved is to understanding the user behavior and generating grammar rules pertaining to the tweet"s language we also need to place the proximity of grammar used. The contribution of our work providing information retrieval tools with visual support. By applying the proposed algorithm, a study can be made on user behavior (Tweeters), fact analysis on the context of tweet and to identify the effective tweeters