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Sensors 2016, 16(1), 108; doi:10.3390/s16010108

Building SDN-Based Agricultural Vehicular Sensor Networks Based on Extended Open vSwitch

1,2,* , 1,2
,
1,2
,
1
and
1,2
1
State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China
2
Science and Technology on Information Transmission and Dissemination in Communication Networks Laboratory, Shijiazhuang 050081, China
*
Author to whom correspondence should be addressed.
Academic Editor: Simon X. Yang
Received: 26 November 2015 / Revised: 11 January 2016 / Accepted: 12 January 2016 / Published: 19 January 2016
(This article belongs to the Special Issue Sensors for Agriculture)
View Full-Text   |   Download PDF [1528 KB, uploaded 19 January 2016]   |  

Abstract

Software-defined vehicular sensor networks in agriculture, such as autonomous vehicle navigation based on wireless multi-sensor networks, can lead to more efficient precision agriculture. In SDN-based vehicle sensor networks, the data plane is simplified and becomes more efficient by introducing a centralized controller. However, in a wireless environment, the main controller node may leave the sensor network due to the dynamic topology change or the unstable wireless signal, leaving the rest of network devices without control, e.g., a sensor node as a switch may forward packets according to stale rules until the controller updates the flow table entries. To solve this problem, this paper proposes a novel SDN-based vehicular sensor networks architecture which can minimize the performance penalty of controller connection loss. We achieve this by designing a connection state detection and self-learning mechanism. We build prototypes based on extended Open vSwitch and Ryu. The experimental results show that the recovery time from controller connection loss is under 100 ms and it keeps rule updating in real time with a stable throughput. This architecture enhances the survivability and stability of SDN-based vehicular sensor networks in precision agriculture. View Full-Text
Keywords: SDN-based vehicular sensor networks in agriculture; connection state; self-learning; Open vSwitch; networking survivability SDN-based vehicular sensor networks in agriculture; connection state; self-learning; Open vSwitch; networking survivability
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Huang, T.; Yan, S.; Yang, F.; Pan, T.; Liu, J. Building SDN-Based Agricultural Vehicular Sensor Networks Based on Extended Open vSwitch. Sensors 2016, 16, 108.

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