Recent Trends in Sensor Research & Technology

A Conceptual Framework for Safeguarding Endangered Animals Through Wireless Body Sensor Networks

  1. Muralidhar Kurni
  2. N. Prathibha Bharathi

Abstract

Since life began on Earth, incalculable creatures have come back and gone, rendered extinct by naturally dynamical physical and biological conditions. Though extinctions occur naturally, scientific proof strongly indicates that this rate of extinction is far on top of the natural or background rate of the past. The main reason driving this higher rate of loss is habitat loss. Over-exploitation of wildlife for profit-making purposes, the rough guide of destructive bizarre organisms, environmental pollution, and the blowout of diseases also carriage serious threats to our world’s biological heritage. One of the most important ways to help the species that are listed as endangered or threatened is to protect their habitats permanently in national parks, nature reserves or wilderness areas. Many national parks today suffer from serious flaws like air pollution and many others. Animals suffer a lot from these flaws. Even though the animals are safeguarded in national parks there is a threat to their lives. Since animals can’t talk, they pass on all sorts of messages using touch, smells and sounds or visual signals. The caretakers of the animals can’t accurately understand the difficulties faced by the animals through these signals. In such situations technology advantages of wireless sensor networks can show a great deal of promises in safeguarding endangered animals. In this paper we propose a conceptual framework for safeguarding endangered animals through specially-designed Wireless Body Sensor Networks (WBSNs) for on-body physiological measurements and body-proximal wireless data communications. Keywords: Endangered animals, extinction, protection, safeguard, wireless body sensor networksCite this Article Muralidhar K, Prathibha Bharathi N. A Conceptual Framework for Safeguarding Endangered Animals through Wireless Body Sensor Networks. Recent Trends in Sensor Research and Technology. 2015; 2(2): 16–20p.
Support