Under significant coexistence in the ISM band, the impact of cross-technology interference (CTI) has become a major threat to low-power IoT. This paper presents ECC that uniquely enables explicit channel coordination among heterogeneities via cross-technology communication (CTC) introduced in the latest studies, while maintaining full compatibility to commodity devices. Unlike any implicit coordination designs adopting statistical models to probabilistically predict white spaces, ECC generates the white space using WiFi CTS, which is then explicitly notified to ZigBee through CTC for immediate use. Technical highlight of ECC lies in ensuring ZigBee communication under CTI, without disrupting WiFi operation. This is effectively achieved by the dynamic adjustment of CTS duration with respect to traffic amount and spectrum availability, which essentially enables ECC to be generally applied to various scenarios without prior knowledge. Lastly, ECC significantly reduces delay and energy in low duty cycled ZigBee, by waking them up upon channel availability (via CTC). We evaluate ECC on commercial platforms: Atheros AR2425 WiFi card and TelosB motes. Experiment results show that ECC achieves 1.8x ZigBee packet reception ratio, and cuts down delay and energy by 98.6% and 51% under the low duty cycle.
|Original language||English (US)|
|Title of host publication||MobiSys 2018 - Proceedings of the 16th ACM International Conference on Mobile Systems, Applications, and Services|
|Publisher||Association for Computing Machinery, Inc|
|Number of pages||13|
|State||Published - Jun 10 2018|
|Event||16th ACM International Conference on Mobile Systems, Applications, and Services,MobiSys 2018 - Munich, Germany|
Duration: Jun 10 2018 → Jun 15 2018
|Name||MobiSys 2018 - Proceedings of the 16th ACM International Conference on Mobile Systems, Applications, and Services|
|Other||16th ACM International Conference on Mobile Systems, Applications, and Services,MobiSys 2018|
|Period||6/10/18 → 6/15/18|
Bibliographical noteFunding Information:
This work was supported in part by the NSF CNS-1525235, NSF CNS-1718456, NSF CNS-1717059, and NSF China 61672196. We sincerely thank our shepherd Brad Campbell and the anonymous reviewers for their valuable comments and suggestions.
© 2018 Association for Computing Machinery.
- Internet of Things