Abstract
Vehicular delay tolerant network (VDTN) is a widely used communication standard for the scenarios where no end to end path is available between nodes. Data is sent from one node to another node using routing protocols of VDTN. These routing protocols use different decision metrics. Based on these metrics, it is chosen whether to send data to connected node or find another suitable candidate. These metrices are Time to live (TTL), geographical information, destination utility, relay utility, meeting prediction, total and remaining buffer size and many other. Different routing protocols use a different combination of metrics. In this paper, a metric called “estimation-time” is introduced. The “estimation-time” is assessed at the encounter of two nodes. Nodes may decide based on that whether to send data or not. This metric can be used in routing decisions. The simulations results are above 88% which proves “estimation-time” metric is calculated correctly.
Highlights
Smart cities have been establishing in a world very rapidly, more than a thousand cities have been established so for globally [1]
Vehicular ad-hoc networks play important role in smart transportation for data transfer purposes, as their protocols work best in urban environments where nodes are dense when it comes to sparse nodes, a better approach is used named vehicular delay tolerant network (VDTN)
Tool used for simulations is Opportunistic Network Environment (ONE) simulator; it is java-based simulator which has a configuration file named “default_setting.txt” where metrices values can be changed
Summary
Smart cities have been establishing in a world very rapidly, more than a thousand cities have been established so for globally [1]. Vehicular ad-hoc networks play important role in smart transportation for data transfer purposes, as their protocols work best in urban environments where nodes are dense when it comes to sparse nodes, a better approach is used named vehicular delay tolerant network (VDTN). It forwards data to receiving node, it keeps happening until data delivered to the destination node or its time to live (TTL) expires. In this type of network, nodes are sparse, distances are long, meeting probability of end to end node is very low due to dynamic changing topologies, delays are long and variable, high latency, asymmetric data rate, and high error rates are common. VDTN register short contact durations and experience rapid changes in the network [3]
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