8,525 research outputs found
TDMP-Reliable Target Driven and Mobility Prediction based Routing Protocol in Complex VANET
Vehicle-to-everything (V2X) communication in the vehicular ad hoc network
(VANET), an infrastructure-free mechanism, has emerged as a crucial component
in the advanced Intelligent Transport System (ITS) for special information
transmission and inter-vehicular communications. One of the main research
challenges in VANET is the design and implementation of network routing
protocols which manage to trigger V2X communication with the reliable
end-to-end connectivity and efficient packet transmission. The organically
changing nature of road transport vehicles poses a significant threat to VANET
with respect to the accuracy and reliability of packet delivery. Therefore, a
position-based routing protocol tends to be the predominant method in VANET as
they overcome rapid changes in vehicle movements effectively. However, existing
routing protocols have some limitations such as (i) inaccurate in high dynamic
network topology, (ii) defective link-state estimation (iii) poor movement
prediction in heterogeneous road layouts. In this paper, a target-driven and
mobility prediction (TDMP) based routing protocol is therefore developed for
high-speed mobility and dynamic topology of vehicles, fluctuant traffic flow
and diverse road layouts in VANET. The primary idea in TDMP is that the
destination target of a driver is included in the mobility prediction to assist
the implementation of the routing protocol. Compared to existing geographic
routing protocols which mainly greedily forward the packet to the next-hop
based on its current position and partial road layout, TDMP is developed to
enhance the packet transmission with the consideration of the estimation of
inter-vehicles link status, and the prediction of vehicle positions dynamically
in fluctuant mobility and global road layout.Comment: 35 pages,16 Figure
Cross-layer Balanced and Reliable Opportunistic Routing Algorithm for Mobile Ad Hoc Networks
For improving the efficiency and the reliability of the opportunistic routing
algorithm, in this paper, we propose the cross-layer and reliable opportunistic
routing algorithm (CBRT) for Mobile Ad Hoc Networks, which introduces the
improved efficiency fuzzy logic and humoral regulation inspired topology
control into the opportunistic routing algorithm. In CBRT, the inputs of the
fuzzy logic system are the relative variance (rv) of the metrics rather than
the values of the metrics, which reduces the number of fuzzy rules
dramatically. Moreover, the number of fuzzy rules does not increase when the
number of inputs increases. For reducing the control cost, in CBRT, the node
degree in the candidate relays set is a range rather than a constant number.
The nodes are divided into different categories based on their node degree in
the candidate relays set. The nodes adjust their transmission range based on
which categories that they belong to. Additionally, for investigating the
effection of the node mobility on routing performance, we propose a link
lifetime prediction algorithm which takes both the moving speed and moving
direction into account. In CBRT, the source node determines the relaying
priorities of the relaying nodes based on their utilities. The relaying node
which the utility is large will have high priority to relay the data packet. By
these innovations, the network performance in CBRT is much better than that in
ExOR, however, the computation complexity is not increased in CBRT.Comment: 14 pages, 17 figures, 31 formulas, IEEE Sensors Journal, 201
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