In multihop IEEE 802.11 IoT networks, efficient routing which means high throughput and low energy consumption is a critical issue. Existing schemes oftentimes rely on explicit 'link probing' to estimate the quality of a routing path. This approach is too expensive for IoT networks, as it requires extra traffic generation. In this paper, we propose a scheme, called 'Virtual Network emulation-based Routing (VNR)'. We do not rely on 'link probing'. Instead, information is obtained by passively sniffing the ongoing traffic. The information obtained at each IoT node is collected at the IoT gateway to derive the statistical properties of the current network. On the basis of the derived properties, the status of the network is estimated, which we call VNR. This result is used to make routing decisions. We evaluate the performance of the proposed scheme via extensive simulations.
|Title of host publication||ICENCO 2017 - 13th International Computer Engineering Conference|
|Subtitle of host publication||Boundless Smart Societies|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Number of pages||5|
|Publication status||Published - 2018 Feb 9|
|Event||13th International Computer Engineering Conference, ICENCO 2017 - Giza, Egypt|
Duration: 2017 Dec 27 → 2017 Dec 28
|Name||ICENCO 2017 - 13th International Computer Engineering Conference: Boundless Smart Societies|
|Conference||13th International Computer Engineering Conference, ICENCO 2017|
|Period||17/12/27 → 17/12/28|
Bibliographical noteFunding Information:
ACKNOWLEDGEMENT This work was supported by the National Research Foundation of Korea(NRF) grants funded by the Korean government (MSIT-2016R1A2B4014505 and NRF-2014S1A3A2044046).
© 2017 IEEE.
All Science Journal Classification (ASJC) codes
- Safety, Risk, Reliability and Quality
- Computer Networks and Communications
- Computer Science Applications