A Survey On Machine Learning Techniques Used in Tracking Livestock in Rural Areas using Wireless Sensor Networks
Journal Title: International Journal of Electronics Communication and Computer Technology - Year 2015, Vol 5, Issue 1
Abstract
There are many countries where livestock plays a major role in the country’s economy and livelihood for the people in the country. Wireless Sensor Network (WSN) can be a good potential for implementing tracking and monitoring systems. However, wireless sensors have limitations. Some researches have been done on using machine learning techniques to develop WSNs. This paper presents a survey on some machine learning techniques and other techniques found in literature to track livestock using WSNs. The most widely used location tracking method for livestock currently used is Global Position System (GPS). One alternate technique of tracking is through using localisation algorithms. Some machine learning techniques have still not been exploited to develop localization algorithms for tracking livestock. Application specific localisation algorithms can be developed using machine learning. Some of the characteristics that need to be considered when developing application specific localisation algorithms for WSNs are the technical characteristics of the nodes; the livestock characteristics such as living and moving characteristics; and area (geographic) characteristics of deployment
Authors and Affiliations
Sajid M. Sheikh| Department of Electrical Engineering University of Botswana, Gaborone, Botswana
Keywords
Related Articles
- EP ID EP8432
- DOI -
- Views 417
- Downloads 48
Key Management Scheme for Preventing False Data in Wireless Sensor Network
Injecting false data attack is a well known serious threat to wireless sensor network, for which an adversary reports bogus information to sink causing error decision at upper level and energy waste in en-route nodes. In...
Channel Estimation with Extended Kalman Filter for Fading Channels
Channel estimation is simply defined as the process of characterizing the effect of the physical channel on the input sequence. They may or may not contain the transmission of a training sequence. Data based channel esti...
Encryption Visual Projection in Embedded Systems
Embedded systems permeate our everyday lives. From automobiles to elevators, kitchen appliances to televisions, and water heaters to cell phones, we increasingly depend upon embedded systems to operate as expected. A few...
A Classifier Ensemble of Binary Classifier Ensembles
This paper proposes an innovative combinational algorithm to improve the performance in multiclass classification domains. Because the more accurate classifier the better performance of classification, the researchers in...
Generating Different Mobility Scenarios in Ad Hoc Networks
The purpose of mobility models is to describe typical terminal movement so that the analysis for these purposes can be made. Thus, the movement pattern of users plays an important role in performance analysis of mobi...