comp_sim_imote2.txt

MATSNL is a package of MATLAB M-files for computing wireless sensor node lifetime/power budget and s

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     Platform Summary                                                           
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 -------------------------------------------------------------------------------
 imote2   |Preprocessor |Sensor       |Processor           |Radio               
 ---------|-------------|-------------|--------------------|--------------------
 Power(mW)|On    |Off   |On    |Off   |On    |Idle  |Off   |Tx    |Rx    |Off   
 --------- ------ ------ ------ ------ ------ ------ ------ ------ ------ ------
 imote2   |0.500 |0.000 |44.000|0.000 |193.000|88.000|1.800 |70.400|80.000|0.000 
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 ---------- ------------ ------------ --------------------- --------------------
 Energy(mJ) Wake  |Sleep Wake  |Sleep    Wake  |   Sleep      Wake  |  Sleep    
 ---------- ------------ ------------ --------------------- --------------------
 imote2     -     -      -     -         2.206    0.000      0.069    0.000
 ---------- ---------- --------- --------- --------- --------- --------- --------- 
   Name        Model      S0        S1        S2        S3        S4        S5     
 ---------- ---------- --------- --------- --------- --------- --------- --------- 
 imote2     Trg.Drv.   -         2.300     237.500   307.900   132.500   317.500(mW)
            ---------- --------- --------- --------- --------- --------- --------- 
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     Parameter Summary                                                           
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Event Arrival Rate Range:                    0.017 /hr - 600.000 /hr
Duty Period :                                600  sec
Average Job inter-arrival time :             4.000 sec
Average Number of Job per Event :            2    /event
Transmission Probabiltiy :                   1.000 
Average Processing time per Job: 
 -imote2 :0.127 sec 
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   Simulation Summary                                            
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 Energy Dissipation Markov Chain Simulation with 2 interation
 ---------- --------------- --------------- --------------- ---------------
 (ev./hr)  prediction(sec) simulation(sec)  std.deviation   rel.error(%)  
 ---------- --------------- --------------- --------------- ---------------
  60.000     14467.047       13651.469       28.177          0.056          
  0.316      220808.930      208160.382      118.698         0.057          
  0.002      798217.214      801344.461      139.283         0.004