Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Body area sensor networks have been attracting more and more applications which focus on human behaviour and monitoring, ranging from simple positioning to medical applications. These BSNs inherit unique specifications since are composed of light-ight embedded systems. ,  focus on energy and lifetime requirements of these systems which is one of the most challenging design constraints.  study this problem from the angle of data compression and sampling which are both known to be very efficient in energy reduction specially when large amount of data is to be transmitted wirelessly.  introduce the notion of functional compression which utilises classes of data patterns to efficiently represent information through regenerative functions. Furthermore,  propose a reconfigurable compression methods which dynamically uses different compression methods to optimise compression ratio and energy savings. Later  study how sampling rate can be adaptively altered based on the behaviour of data pattern for further reduction in sample counts.  use the data from a arable sensing system to illustrate the effectiveness of these methods which utilise the context and behaviour of the environment in system optimisation process.
['Foad Dabiri', 'Hyduke Noshadi', 'Majid Sarrafzadeh']
I am writing a research paper on a idea Behavioural reconfigurable and adaptive data reduction in body sensor networks
[{"from": "human", "value": "I am writing a research paper on a idea Behavioural reconfigurable and adaptive data reduction in body sensor networks"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Body area sensor networks have been attracting more and more applications which focus on human behaviour and monitoring, ranging from simple positioning to medical applications. These BSNs inherit unique specifications since are composed of light-ight embedded systems. ,  focus on energy and lifetime requirements of these systems which is one of the most challenging design constraints.  study this problem from the angle of data compression and sampling which are both known to be very efficient in energy reduction specially when large amount of data is to be transmitted wirelessly.  introduce the notion of functional compression which utilises classes of data patterns to efficiently represent information through regenerative functions. Furthermore,  propose a reconfigurable compression methods which dynamically uses different compression methods to optimise compression ratio and energy savings. Later  study how sampling rate can be adaptively altered based on the behaviour of data pattern for further reduction in sample counts.  use the data from a arable sensing system to illustrate the effectiveness of these methods which utilise the context and behaviour of the environment in system optimisation process."}]