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An Algorithm for an EfficientData Collection using Mobile Agent in Sensor Networks G3 s1140181 Shota　Hirasawa 1

Agenda Background Purpose Problem Solution Model Next hop decision Itinerary termination Future work 2

Background Development of sensor technologies ,[object Object],In the researches, methods using a mobile agent are proposed and it is one of the distributed processing technologies. However, the development of applications using those researches has not so advanced. 　　 3

Purpose we develop a new efficient algorithm for itinerary decision of MA to realize practical applications on the sensor networks. 4

Problem We should consider what condition MAs are used best and determine situation. For application-specific data collection… How to decide dynamic itinerary How to decide the condition of the itinerary end of MA 5

Solution We decides the situation that is data collection to predict frost damage in agriculture Use the data extracted from the data has been stored in sensor node to itinerary decision of MA. Use the method has been used in agriculture to itinerary termination. 6

Models(1) Target Region MA Sink Node A condition of collected data is satisfied Sensor Network 7

DB ,[object Object]

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1. An Algorithm for an EfficientData Collection using Mobile Agent in Sensor Networks G3 s1140181 Shota　Hirasawa 1

2. Agenda Background Purpose Problem Solution Model Next hop decision Itinerary termination Future work 2

3.

4. Purpose we develop a new efficient algorithm for itinerary decision of MA to realize practical applications on the sensor networks. 4

5. Problem We should consider what condition MAs are used best and determine situation. For application-specific data collection… How to decide dynamic itinerary How to decide the condition of the itinerary end of MA 5

6. Solution We decides the situation that is data collection to predict frost damage in agriculture Use the data extracted from the data has been stored in sensor node to itinerary decision of MA. Use the method has been used in agriculture to itinerary termination. 6

7. Models(1) Target Region MA Sink Node A condition of collected data is satisfied Sensor Network 7

8.

9. Humidity(Hum)

14. Hum

15.

16.

18. Day lightTarget Region Models (2)

19. Explanation of Models MA finish processing on one of the sensor node. When MA move the next sensor node , itrefers to the meta-data of a peripheral sensor node After MA refers meta-data, it moves the next sensor node that satisfies the itinerary termination more efficiently. ＊Meta-data is outline of data that sensor node stores 9

20. Next hop decision Two features in meta-data area information, temperature MDj(LvjTpj), j∈Ni MD：meta-data　Lvj：Tolerance of degree to frost of crops Tpj：Temperature Ni：sets of the sensor nodes that exist in neighbors of sensor node (i) 　 Next hop decision 　　　　　　　　　　　　　　　　　　　 (0≦w≦1) ｗ：weight（User can define the weight ） 10

21. Itinerary termination I have not define Itinerary termination yet. 11

22. Future work I have not complete my thesis yet. So I can not choose problems of this thesis. 12