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Energy scavenging system for indoor wireless sensor network

Abstract

dc:description.abstract

As wireless communication evolves wireless sensors have begun to be integrated into society more and more. As these sensors are used to a greater extent newer and better ways to keep them working optimally have begun to surface. One such method aims to further the sensors energy independence on humans. This technique is known as energy scavenging. The logic behind energy scavenging is to allow the device to have its own reliable source of energy that does not require upkeep, has a long life expectancy, and does not completely rely on an internal power source. The aim of this thesis is to research techniques for indoor energy scavenging for sensor that is used to monitor patients in a hospital. There are numerous techniques to achieve energy scavenging in wireless sensor networks. Multiple scavenging methods are known such as vibration energy, thermoelectric energy, and photovoltaic energy. All of these methods were analyzed and compared to see which would be optimal for the situation the sensor would be put in. Other techniques come into play to help the efficiency of the sensor network. These methods were also examined to help the energy scavenging to be more feasible.

Degree

thesis:*
Name thesis:degree_name
Master of Science in Computer Engineering - (M.S.)
Discipline thesis:degree_discipline
Electrical and Computer Engineering
Year
2011

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Crea, David Andrew
Contributors dc:contributor
  • MengChu Zhou
  • Jie Hu
  • Jingong Pan

Subjects

dc:subject × 4

Identifiers

dc:identifier.*
Repository record dc:identifier
https://digitalcommons.njit.edu/theses/75
OAI identifier oai:identifier
oai:digitalcommons.njit.edu:theses-1074

Chain of custody

source
Harvested from
NJIT
Base URL
digitalcommons.njit.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Crea, David Andrew. Energy scavenging system for indoor wireless sensor network. 2011. https://digitalcommons.njit.edu/theses/75