Application of Modified RPL Under VANET-WSN Communication Architecture

Tian, Bin; Hou, Kun Mean; Shi, Hongling; Xing, Liudong; Diao, Xunxing; Li, Jian-Jin; Chen, Yibo; Chanet, Jean-Pierre

doi:10.1109/iccis.2013.387

Cited by 37 publications

(17 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…RPL can be used for routing data in static on-road sensors, but very few papers discuss using it in vehicular networking. The authors in [36] use RPL in a VANET scenario, direction prediction helps in selecting a parent that is more likely to be in range. The approach is excellent and the results are promising but in order to apply RPL to this application, energy consumption has to be neglected, all aspects of RPL that save energy are removed and while energy is not usually limited in a vehicle that is usually equipped with a significantly large batteries, the use of RPL and the IEEE 802.15.4 in VANETs is still debatable.…”

Section: Transportmentioning

confidence: 99%

See 1 more Smart Citation

RPL-Based Routing Protocols in IoT Applications: A Review

Kharrufa¹,

2019

View full text Add to dashboard Cite

Section: Transportmentioning

confidence: 99%

“…The authors in [36] proposed an enhanced version of RPL for vehicular ad-hoc networks VANETs. They included geographical information as a new metric in order to predict nodes in forward direction and select them as preferred parents to minimize the number of dissociations and reformation of DODAGs.…”

Section: B Mobilitymentioning

confidence: 99%

RPL-Based Routing Protocols in IoT Applications: A Review

Kharrufa¹,

2019

View full text Add to dashboard Cite

“…For example, V2V supports vehicle-to-vehicle communication, V2I supports vehicle-to-infra communication, and V2N supports vehicle-to-nomadic devices communication. However, because it is expensive to support VANET, a hybrid network, VANET-WSN communication, has been proposed [30]. The sensor nodes used in WSNs are inexpensive and are installed on roads at regular intervals to monitor road conditions.…”

Section: Vanet-wsnmentioning

confidence: 99%

Modeling and Simulation of DoS Attack Response in WSN based IoT

Chung*,

Cho*

2019

IJRTE

View full text Add to dashboard Cite

Autonomous vehicles are cars that drive autonomously and safely to their destination. Autonomous vehicles offer driver convenience but can also be used as an attack tool to cause accidents. The attacker can infiltrate the controller area network exchanging information of the electronic control unit of the autonomous vehicles and take control of the vehicle's movement. As a result, the attacked autonomous vehicles may drive abnormally and cause an accident. In addition, an attacker can try various attacks such as a denial of service attack that sends many unnecessary packets to autonomous vehicles and paralyzes the network, and a replay attack that continuously sends old information that does not match the current road conditions. These attacks can cause vehicles accidents without infiltrative the controller area network controllers of autonomous vehicles. This paper proposes a countermeasure to denial of service attacks on autonomous vehicles, which uses the autonomous vehicles speed information sensed by sensor nodes of wireless sensor networks. In the event of an accident, for example, the autonomous vehicles detect a denial of service attack by comparing the information calculated at the base station with the Autonomous vehicles’ own information. The autonomous vehicles maintain speed based on the information received from the base station. Then the base station communicates with the infrastructure based on the road condition information received from the wireless sensor networks sensor nodes. This allows the infrastructure to control the roads and prevent further accidents. This paper shows that the WSN-based IoT can be modeled and simulated based on discrete event systems to cope with denial of service attacks on autonomous vehicles, enabling them to operate normally and safely.

show abstract

“…In [3], the authors added geographical information to the routing metrics to find the direction of the node and to choose the parent node in the forward direction. This approach minimizes the number of dissociations which in turn improves the stability of the network, but as it was designed for vehicular networks, it assumes that nodes do not change their direction.…”

Section: Introductionmentioning

confidence: 99%