There has been much research on WSNs, especially the
methods to relieve constraints of WSNs. Recently, the
WSN technologies have been applied to home automation
system in order to provide the residents with smart home
services. However, due to the fixed system architecture,
existing sensor systems are not well-suited in dynamic
environments such as a smart home. Therefore, this paper
proposed the ZiSAS, a situation based self-adjusting
scheme, and an event-based self-adjusting sensor network
in order to make consumer devices more energy efficient
and smart. We designed and implemented related
hardware and middleware. We expect that our study will
contribute to the development of smart home service
system. We implemented our system in the test bed and
conducted an experiment to verify the efficiency of the
proposed system. The results show that compared to
periodic sensing and transmission, situation based control
without the SMA and situation based control with the
SMA is approximately 3-12% and 8-34% reduction of
energy consumption respectively, depending on the
number of the ZiSASs. As a part of our future works, we
are doing research into novel context awareness
technologies and trying to apply them into a smart home
system. Furthermore, we are developing a self-adjusting
sensor for various environments.
There has been much research on WSNs, especially themethods to relieve constraints of WSNs. Recently, theWSN technologies have been applied to home automationsystem in order to provide the residents with smart homeservices. However, due to the fixed system architecture,existing sensor systems are not well-suited in dynamicenvironments such as a smart home. Therefore, this paperproposed the ZiSAS, a situation based self-adjustingscheme, and an event-based self-adjusting sensor networkin order to make consumer devices more energy efficientand smart. We designed and implemented relatedhardware and middleware. We expect that our study willcontribute to the development of smart home servicesystem. We implemented our system in the test bed andconducted an experiment to verify the efficiency of theproposed system. The results show that compared toperiodic sensing and transmission, situation based controlwithout the SMA and situation based control with theSMA is approximately 3-12% and 8-34% reduction ofenergy consumption respectively, depending on thenumber of the ZiSASs. As a part of our future works, weare doing research into novel context awarenesstechnologies and trying to apply them into a smart homesystem. Furthermore, we are developing a self-adjustingsensor for various environments.
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