TY - GEN
T1 - Parallel inclusive communication for connecting heterogeneous IoT devices at the edge
AU - Chi, Zicheng
AU - Li, Yan
AU - Liu, Xin
AU - Yao, Yao
AU - Zhang, Yanchao
AU - Zhu, Ting
N1 - Publisher Copyright:
© 2019 ACM.
PY - 2019/11/10
Y1 - 2019/11/10
N2 - WiFi and Bluetooth Low Energy (BLE) are widely used in Internet of Things (IoT) devices. Since WiFi and BLE work within the overlapped ISM 2.4 GHz band, they will interfere with each other. Existing approaches have demonstrated their effectiveness in mitigating the interference. However, further performance improvement has been hampered by the design goal of exclusive communication of WiFi or BLE, which only allows one WiFi or BLE device to transmit packets at any specific time slot on the overlapped channel within the communication range. In this paper, we explore a new communication method, called Parallel Inclusive Communication (PIC), which leverages the unique modulation schemes of WiFi and BLE for parallel inclusive bi-directional transmission of both WiFi and BLE data at the same time within the overlapped channel. In this communication system, the PIC gateway is designed upon the IEEE 802.11g and 802.15.1 frameworks while the WiFi and BLE clients are commercial off-the-shelf devices. PIC achieves similar data rates for these parallel WiFi and BLE communications as if WiFi and BLE are communicating separately. PIC's system architecture naturally fits at the edge of the Internet, which is an optimal site for concurrently collecting (or disseminating) data from (or to) an exponentially increasing number of IoT devices that are using WiFi or BLE. We conducted extensive evaluations under four real-world scenarios. Results show that compared with existing approaches, PIC can significantly i) increase the packet reception ratios by 183%; ii) reduce the round-trip delay time by 590 times and energy consumption by 50.5 times; and iii) improve the throughput under WiFi and BLE coexistence scenarios.
AB - WiFi and Bluetooth Low Energy (BLE) are widely used in Internet of Things (IoT) devices. Since WiFi and BLE work within the overlapped ISM 2.4 GHz band, they will interfere with each other. Existing approaches have demonstrated their effectiveness in mitigating the interference. However, further performance improvement has been hampered by the design goal of exclusive communication of WiFi or BLE, which only allows one WiFi or BLE device to transmit packets at any specific time slot on the overlapped channel within the communication range. In this paper, we explore a new communication method, called Parallel Inclusive Communication (PIC), which leverages the unique modulation schemes of WiFi and BLE for parallel inclusive bi-directional transmission of both WiFi and BLE data at the same time within the overlapped channel. In this communication system, the PIC gateway is designed upon the IEEE 802.11g and 802.15.1 frameworks while the WiFi and BLE clients are commercial off-the-shelf devices. PIC achieves similar data rates for these parallel WiFi and BLE communications as if WiFi and BLE are communicating separately. PIC's system architecture naturally fits at the edge of the Internet, which is an optimal site for concurrently collecting (or disseminating) data from (or to) an exponentially increasing number of IoT devices that are using WiFi or BLE. We conducted extensive evaluations under four real-world scenarios. Results show that compared with existing approaches, PIC can significantly i) increase the packet reception ratios by 183%; ii) reduce the round-trip delay time by 590 times and energy consumption by 50.5 times; and iii) improve the throughput under WiFi and BLE coexistence scenarios.
KW - Heterogenous networks
KW - IoT
KW - Parallel communication
UR - http://www.scopus.com/inward/record.url?scp=85076624837&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85076624837&partnerID=8YFLogxK
U2 - 10.1145/3356250.3360046
DO - 10.1145/3356250.3360046
M3 - Conference contribution
AN - SCOPUS:85076624837
T3 - SenSys 2019 - Proceedings of the 17th Conference on Embedded Networked Sensor Systems
SP - 205
EP - 218
BT - SenSys 2019 - Proceedings of the 17th Conference on Embedded Networked Sensor Systems
A2 - Zhang, Mi
PB - Association for Computing Machinery
T2 - 17th ACM Conference on Embedded Networked Sensor Systems, SenSys 2019
Y2 - 10 November 2019 through 13 November 2019
ER -