Testing Protocols for the Internet of Things and Coexistence with Wi Fi Networks
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1 Testing Protocols for the Internet of Things and Coexistence with Wi Fi Networks Chiara Buratti, Andrea Stajkic, Danilo Abrignani Stefan Mijovic, Roberto Verdone DEI,
2 Outline 1. EuWIn: Testing IoT Protocols 2. IoT Applications 3. Comparing Protocols for IoT 4. Coexistence Issues at 2.4 GHz 2
3 Outline 1. EuWIn: Testing IoT Protocols 2. IoT Applications and Motivations 3. Comparing Protocols for IoT 4. Coexistence Issues at 2.4 GHz 3
4 NEWCOM# Network of Excellence in Wireless Communications EuWIn European Laboratory of Wireless Communications for the Future Internet 4
5 EuWIn: partners CNIT (Italy) CNRS (France) CTTC (Spain) Aalborg Univ. (Denmark) Bilkent Univ. (Turkey) IASA (Greece) INOV (Portugal) Poznan Univ. oftechnology (Poland) Technical Univ. of Vienna (Austria) Technion (Israel) Univ. of Cambridge (UK) Univ. Catholique de Louvain (Belgium) Univ. of Dresden (Germany) Univ. of Oulu (Finland) 5
6 EuWIn: sites The Lab is composed of three main sites It is open to all researchers, SMEs, institutions Director: Prof. Roberto Verdone Radio Interfaces Barcelona, ES) Internet of Things Bologna, IT) Flexible Communication Terminals Sophia Antipolis, FR) 6
7 The lab provides more than 200 wireless nodes implementing different types of radio interfaces and distributed according to different platforms EuWIN UniBO FlexTop DataSens LocTest 7
8 Flextop: deployment 53 devices in fixed positions 1 Coordinator / Gateway 2 Sniffers TI CC compliant devices C 8
9 Flextop: the access Remotely accessible Over the air programming 9
10 Flextop: strengths Controllable environment Possibility to emulate different topologies Coord / GW Coord / GW 10
11 DataSens: aims Studying social behaviour of human environments Testing Delay Tolerant Networking approaches 11
12 Outline 1. EuWIn: Testing IoT Protocols 2. IoT Applications and Motivations 3. Comparing Protocols for IoT 4. Coexistence Issues at 2.4 GHz 12
13 IoT: applications Smart Cities Smart Grid Smart Bodies Smart Homes Smart Buildings 13
14 IoT: smart home Coord / GW GW/Coordinator periodically queries devices in order to monitor their status 14
15 IoT: motivation Which is the best standard solution to be used? Which is the impact of interference? Studied Metrics: Round Trip Time Overhead Directly connected to Energy Consumption 15
16 Outline 1. EuWIn: Testing IoT Protocols 2. IoT Applications and Motivations 3. Comparing Protocols for IoT 4. Coexistence Issues at 2.4 GHz 16
17 Protocols for IoT: considered solutions IEEE / Zigbee IEEE / SDWN IEEE / 6LowPAN 17
18 Protocols for IoT: stacks 18
19 Zigbee: Many to One routing MTO RREQ 4 MTO RREQ 2 MTO RREQ Coord MTO RREQ 3 Node 4 Node 2 Coord Node 3 Node 1 RREC MTO RREQ 5 Node 5 MTO RREQ (broadcast) Route Record node 5 (unicast) MTO RREQ 1 19
20 6LowPAN: RPL routing DIO 4 DIO 2 DIO Coord DIO 3 Node 4 Node 2 Coord Node 3 Node 1 DAO DIO 5 Node 5 DODAG Information Object (DIO) (broadcast) Destination Advertisement Object (DAO) node 5 (unicast) DIO 1 20
21 Numerical Results: scenario Coordinator and 10 Nodes switched ON Coordinator periodically queries one of the nodes Coordinator COORD Node at 1 hop Node at 2 hops Node at 3 hops 21
22 Numerical Results: RTT comparison RTT [ms] RTT [ms] RTT [ms] hop 2 hop 3 hop Number of hops Zigbee 6LoWPAN RTT [ms] B 20B 30B Payload Size Zigbee 6LoWPAN 20 Bytes payload 1 hop scenario Zigbee improvement from 10% to 30%! 22
23 Numerical Results: impact of environment Quasi Static conditions RTT [ms] RTT [ms] Static Quasi Static Dynamic Zigbee 6LoWPAN Dynamic conditions 23
24 Numerical Results: impact of environment Quasi Static conditions RTT [ms] RTT [ms] Static Quasi Static Dynamic Zigbee 6LoWPAN Dynamic conditions 24
25 Numerical Results: overhead One Hop [#packets] Two hops [#packets] One Hop [#Bytes] Two hops [#Bytes] Zigbee LoWPAN
26 Numerical Results: Zigbee vs SDWN Centralised routing: Controller takes decisions Low delay at routers RTT [ms] RTT [ms] hop 2 hop 3 hop Number of hops SDWN Zigbee 6LoWPAN 26
27 Outline 1. EuWIn: Testing IoT Protocols 2. IoT Applications and Motivations 3. Comparing Protocols for IoT 4. Coexistence Issues at 2.4 GHz 27
28 Motivation Smart Home: strong presence of Wi Fi Check the impact of Wi Fi on Zigbee Extremely bad conditions tested Up to 3 APs setup Close proximity of APs to Zigbee Coordinator No frequency agility used 28
29 Methodology: why EuWIn? Environment Characterisation Avg. Rx Power Matrix Energy Peak Detection Wi Fi Channel Utilization Measurements ZigbeePoint to Point Network Data Process Packet Loss Rate Avg. Round Trip Time Overhead 29
30 Experimental Characterisation: why EuWIn? Avg. Rx Power Matrix [dbm] Wi Fi Channel Utilization Energy Peak Detection [dbm] 30
31 Test: testbed setup Clients APs 10 cm / 3 m CH 6 40 MHz CH 6 22 MHz IEEE Used Channels IEEE Channels IEEE b Used Channel 5 MHz IEEE n Used Channel f [MHz] 2437 Channel No. 31
32 Numerical Results: an example 350 RTT [ms] RTT No Interference CH 25 CH cm CH cm CH m 32
33 Conclusions EuWIn: a remote programming platform for testing IoT protocols at disposal of SMEs Zigbee outperforms 6LoWPAN Coexistence Issues between Zigbee and Wi Fi should be properly checked 33
34 If you want to know something more Visit Our EuWIn DEMO!
35 References D. Abrignani, C. Buratti, L. Frost, R. Verdone, Testing The Impact of Wi Fi Interference on Zigbee Networks, EuroMed 2014, Napoli, Italy, D. Abrignani, C. Buratti, L. Frost, R. Verdone, Technical Report on Testing The Impact of Wi Fi Interference on Zigbee Networks, presented to Home Gateway Initiative. A. Stajkic, M. D. Abrignani, C. Buratti, R. Verdone, The EuWin Platform: From a Down Scaled Testbed to the Real Deployment, Atti di EUCNC 2014, June 23 26, Bologna, Italy. M. D. Abrignani, C. Buratti, D. Dardari, N. El Rachkidy, A. Guitton, F. Martelli, A. Stajkic, R. oberto Verdone, The EuWIn Testbed for /Zigbee Networks: From the Simulation to the Real World, Proc. of ISWCS 2013, August , Ilmenau, Germany. C. Buratti, G. Gardasevic, S. Milardo, M.D. Abrignani, S. Mijovic, A. Stajkic, G. Mirabito, R. Verdone, Testing Protocols for The Internet of Things on The EuWIn Platform, submitted to IEEE IoT Journal. 35
36 Numerical Results: traffic and metrics Traffic: Query based APPs Coordinator periodically triggers one of the nodes Packets are generated every 300 ms Metrics: Average Round Trip Time, Overhead Gateway COORD. TARGET NODE 36
37 Measurements Result: PLR CH 17 Unicast Wifi Ut % Wifi Ut % 37
38 Measurements Result: RTT CH 17 Broadcast vs Unicast Average RTT [ms] Overhead [%] Avg. RTT [ms] APs 10 cm 3 APs 3 m 3 APs 10 cm Unicast Broadcast Overhead [%] APs 10 cm 3 APs 3 m 3 APs 10 cm Unicast Broadcast 38
39 Measurements Result: RTT Unicast CH 17 vs CH 25 Average RTT [ms] CH 17 CH 25 CH 17 CH 17 CH 25CH 17 No Interf CH 25 CH 25 39
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