Confident-based Adaptable Connected objects discovery to HArmonize smart City Applications R. Petrolo, V. Loscri, N. Mitton
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1 Confident-based Adaptable Connected objects discovery to HArmonize smart City Applications R. Petrolo, V. Loscri, N. Mitton BIS Workshop - Paris, France June 09, 2016
2 Summary Background and Motivation CACHACA - let s discover Performance Evaluation - 2
3 1. Background and motivations The Internet of Things 3
4 The Internet of Things, connectivity for anything from anytime and anyplace, anyone will now have connectivity for anything - 4
5 The IoT will change all the aspects in our lives - 5
6 How to understand data which comes out and goes into the things? T, 30, 13:45, C - 6
7 How to understand data which comes out and goes into the things? App Data Layer Network MAC PHY Sensing, etc.? IPv6 IEEE IEEE
8 Building the data layer : we use the IPSO Alliance data types temp, 30, Celsius, 13h45-8
9 First takeaways The IoT opens many research opportunities The data layer introduces many benefits Challenge: discovery of resources and services - 9
10 2. CACHACA let s discover Confident-based Adaptable Connected objects discovery to HArmonize smart City Applications - 10
11 CACHACA runs on Sensor Networks GATEWAY Internet - 11
12 CACHACA evaluates and classifies neighbors and services for each node extension of Neighbor Discovery protocols add info about service(s) offered by each node use Fuzzy logic to evaluate - 12
13 CACHACA - discovery ID RSSI Timestamp
14 CACHACA - discovery Service ω - 14
15 CACHACA - discovery ID RSSI Timestamp Service ω φ
16 CACHACA evaluation Physical confidence (φ): gives information about physical aspects of a neighbor Service confidence (ω): gives information about the service(s) provided by a neighbor - 16
17 CACHACA evaluation φ RSSI t - 17
18 CACHACA evaluation φ it prefers fresh nodes RSSI t φ Excellent Excellent Excellent Good Excellent Excellent Excellent Good Good Bad Bad Bad - 18
19 CACHACA evaluation ω it prefers real-time φ Neighbor ω Neighbor ω Excellent Excellent Good Good Excellent Good Bad Excellent Bad - 19
20 CACHACA s neighbors table ID Service ω φ RSSI Timestamp 1 temp excellent good light good good temp excellent excellent
21 takeaways Evaluate and Classify Neighbors and Services. extension of Neighbor Discovery protocols. φ to evaluate physical properties. ω to evaluate the service(s). - 21
22 3. Performance evaluation - 22
23 Smart Building - 23
24 Smart Building Parameter Value Nodes Type WSN 430 Nodes radio chip TI CC 2.4 GHz Nodes flash memory 1 MB Contiki-OS - 24
25 scientific testbed provides very large infrastructure testing WSN and heterogeneous objects - 25
26 Neighbors and Services Discovered CACHACA discovers almost all the services available Services - Fix Neighbors - Fix Services - Ideal Neighbors - Ideal Number of Nodes - 26
27 CACHACA and its confidences Excellent ω - Fix φ - Fix Good Bad Number of Nodes - 27
28 takeways CACHACA deals with the Discovery and the Ranking of Neighbors and Services - 28
29 - 29
30 Future works Validate the Smart Building scenario Evaluation in high dense scenarios Consider other parameters for the confidences - 30
31 Thanks!
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