Adaptive energy management mechanisms for clustering based routing wireless sensor networks

  "The development of science and technology are increasingly affecting and changing the nature of processes in industry and society. Smart roads, smart parking, smart home, intelligent transportation, are infrastructure systems that create our world more connected than we ever thought. Such systems are associated with the Internet of Things (IoT) concept, where the smart sensors are taking place to monitor physical or environmental conditions and transmit useful information without human intervention via a wireless sensor networks (WSNs) technology.
However, the development of WSNs is still at an early stage due to several issues including reliability, data collection, and power consumption, which need to be resolved to take full benefit of this remarkable technology. To this end, my research focuses on hierarchal cluster architecture topology for WSNs, in order to develop a Self-organizing and energy management routing protocol for continuous monitoring applications in WSNs with minimum overhead. The aim is to develop a protocol that can effectively collect the sensed data from the sensor nodes, and able to adapt and reconfigure autonomously in conjunction with the changes of the network conditions

  • Dates:

    2013 to 2017

  • Qualification:

    Doctorate (PhD)

Project Team


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