An Energy-Efficient Routing Protocol Using Movement Trends in Vehicular Ad hoc Networks

Abstract

Oxford University Press (OUP): Policy A -Oxford Open Option A Zhang, D.; Yang, Z.; Raychoudhury, V.; Chen, Z.; Lloret, J. (2013) Vehicular Ad-hoc Networks (VANETs) are a killer application of Mobile Adhoc Networks (MANETs), which exchange data among vehicles and vehicles to roadside infrastructures by routing. To save energy, various routing protocols for VANETs have been proposed in recent years. However, VANETs impose challenging issues to routing. These issues consist of dynamical road topology, various road obstacles, high vehicle movement, and the fact that the vehicle movement is constrained on roads and traffic conditions. Moreover, the movement is significantly influenced by driving behaviors and vehicle categories. To this end, we incorporate them into routing and propose ERBA for VANETs -an energy-efficient routing protocol. ERBA classifies vehicles into several categories, and then leverages vehicle movement trends to make routing recommendation. It predicts the movement trends by current directions and next directions after going through the road intersections. With the vehicular category information, the driving behavior patterns, the distance between the current sections and the next intersections, ERBA propagates information among vehicles with less energy consumption. The proposed scheme is validated by real urban scenarios extracted from ShanghaiGrid project. Experimental results show that ERBA outperforms the compared routing protocols with respect to the end-end delay, the packet delivery ratio and the path duration time.

Mobile Target Detection in Wireless Sensor Networks With Adjustable Sensing Frequency

“…Due to the sensor nodes often have redundancy when deployed, the monitoring quality still can be achieved at a higher standard even if the duty cycle is little, and the network lifetime will be greatly prolonged. Therefore, most researchers focus on how to optimize the duty cycle of node (nodes' wake-up strategies) to optimize the target detection quality [2][3][4][5][6][7][11][12][13]. The sensor node consists of sensing and communication device.…”

“…Although there have been many studies of target detection, most of them focus on how to optimize the duty cycle of node to optimize the target detection quality [2][3][4][5][6][7]. The quality of target detection mainly includes the delay for detection, the probability of missing target and network lifetime.…”

Topology Property Based on Network Tomography for Wireless Mobile Multihop Communication Network

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Dynamic collaborative in-network event detection in wireless sensor networks

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