[R] Temperature Prediction Model

[Aneeta]

The data that I use has been collected by a sensor network deployed by Intel.
You may take a look at the network at the following website
http://db.csail.mit.edu/labdata/labdata.html

The main goal of my project is to simulate a physical layer attack on a
sensor network and to detect such an attack. In order to detect an attack I
need to have a model that would define the normal behaviour. So the actual
variation of temperature throughout the year is not very important out here.
I have a set of data for a period of 7 days which is assumed to be the
correct behaviour and I need to build a model upon that data. I may refine
the model later on to take into account temperature variations throughout
the year.

Yes I am trying to build a model that will predict the temperature just on
the given time of the day so that I am able to compare it with the observed
temperature and determine if there is any abnormality. Each node should have
its own expectation model (i.e. there will be no correlation between the
readings of the different nodes).


Steve Lianoglou-6 wrote:
> 
> Hi,
> 
> On Oct 21, 2009, at 12:31 PM, Aneeta wrote:
> 
>>
>> Greetings!
>>
>> As part of my research project I am using R to study temperature data
>> collected by a network. Each node (observation point) records  
>> temperature of
>> its surroundings throughout the day and generates a dataset. Using the
>> recorded datasets for the past 7 days I need to build a prediction  
>> model for
>> each node that would enable it to check the observed data against the
>> predicted data. How can I derive an equation for temperature using the
>> datasets?
>> The following is a subset of one of the datasets:-
>>
>>      Time              Temperature
>>
>> 07:00:17.369668   17.509
>> 07:03:17.465725   17.509
>> 07:04:17.597071   17.509
>> 07:05:17.330544   17.509
>> 07:10:47.838123   17.5482
>> 07:14:16.680696   17.5874
>> 07:16:46.67457     17.5972
>> 07:29:16.887654   17.7442
>> 07:29:46.705759   17.754
>> 07:32:17.131713   17.7932
>> 07:35:47.113953   17.8324
>> 07:36:17.194981   17.8324
>> 07:37:17.227013   17.852
>> 07:38:17.809174   17.8618
>> 07:38:48.00011     17.852
>> 07:39:17.124362   17.8618
>> 07:41:17.130624   17.8912
>> 07:41:46.966421   17.901
>> 07:43:47.524823   17.95
>> 07:44:47.430977   17.95
>> 07:45:16.813396   17.95
> 
> I think you/we need much more information.
> 
> Are you really trying to build a model that predicts the temperature  
> just given the time of day?
> 
> Given that you're in NY, I'd say 12pm in August sure feels much  
> different than 12pm in February, no?
> 
> Or are you trying to predict what one sensor readout would be at a  
> particular time given readings from other sensors at the same time?
> 
> Or ... ?
> 
> -steve
> 
> --
> Steve Lianoglou
> Graduate Student: Computational Systems Biology
>    |  Memorial Sloan-Kettering Cancer Center
>    |  Weill Medical College of Cornell University
> Contact Info: http://cbio.mskcc.org/~lianos/contact
> 
> ______________________________________________
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> PLEASE do read the posting guide
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> and provide commented, minimal, self-contained, reproducible code.
> 
> 

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