Optimum Space Utilization Approach to Improve Persistence of WSNs
Journal Title: INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY - Year 2016, Vol 15, Issue 1
Abstract
Wireless Sensor Networks (WSNs) are consists of huge number of sensor nodes, restricted with limited power, Â for provide services with cooperation to sense data and send to server. Various routing techniques are introduced for managing data transmission in WSNs in last decade. This work proposes novel method with compare distance of sensor nodes to base station in heterogeneous WSN. The sensor nodes near to base station are likely to send data direct to base station and nodes are long distance to base station would form cluster to send data using Stable Election Protocol (SEP) method. This work considers distance parameter to compare with base station position to decide whether need for nodes clustering or not. The proposed method further compare with existing Low Energy adaptive clustering hierarchy (LEACH) protocol and SEP protocol for WSN data transmission. The proposed method simulation results show the effectiveness with compare to existing methods.
Authors and Affiliations
Anuja Modi, Gourishankar Prajapati
Social Representations of ICT in High School Students in Niger
This article examines social representations of information and communications technologies (ICT) in high school students in Niamey, Niger, and explores whether these representations are determined by training in and reg...
Comparative Study of Different Image Enhancement Techniques
The main purpose of image enhancement is to bring out detail that is hidden in an image or to increase contrast in a low contrast image. Image enhancement techniques provide a multitude of choices for improving the visua...
Alternative Vidhi to Conversion of Cyclic CNF->GNF
In automata theory Greibach Normal Form shows that A->aV n*, where ‘a’ is terminal symbol and Vn is nonterminal symbol where * shows zero or more rates of Vn [1]. Most popular questions, conversion of following c...
Artificial Neural Network Based Method for Classification of Gene Expression Data of Human Diseases along with Privacy Preserving
In this paper, the author introduces a classification approach using Artificial Neural Network(ANN) with Back-Propagation learning technique for human diseases like Cancer and heart problems from clinical diagnosis dat...
Skin Color detection Using Stepwise Neural Network and Color Mapping Co-occurrence Matrix
Skin color has been proven to be a useful and robust cue for face detection, human tracking, image content filtering, pornographic filtering, etc. Most of skin classification researches are focused on using pixel-based...