Energy Efficient Resource Management for Wireless Sensor Networks
Recent advances in wireless communications and microelectronic devices
have enabled the development of low-cost, low-power, multifunctional sensor
nodes that are small in size and communicate in short distances. Of course,
these tiny sensor nodes, which consist of sensing, data processing, and
wireless communication components, leverage the idea of wireless sensor
networks. They represent a significant improvement over traditional sensors
and can be used for various applications such as military, transportation,
health care, disaster recovery, warfare, homeland security.
Wireless Sensor Networks (WSNs) are fast emerging as a new sensing paradigm
based on the collaborative effort of large number of sensors deployed close
to or inside the phenomenon to be observed, and have the potential of providing
diverse services to numerous applications. The realization of these WSNs
requires intensive technical research efforts especially in energy aware
scalable wireless ad hoc communications protocols due to their unusual application
requirements and unique constraints such as (a) placement of the sensor
nodes (b) limited computation and storage capacity and (c) lifetime of the
wireless sensor network due to battery.
The major research objective of this project is to develop advanced management
strategy for Smart Sensor nodes that are able to self-organize and utilize
the resources through media access control (MAC) protocols for a dynamic
changing topology and under different environment. An Intelligent firmware
stack will be developed to support the energy efficient resource management.
Principal Investigator: Assoc Professor Soong Boon Hee
Team Members:
Mr. Lau Chun
Hau, Project Officer
Mr. Adnan Nasir, Ph.D student