Title :
Impact of Microscopic Vehicle Mobility on Cluster-Based Routing Overhead in VANETs
Author :
Abboud, Khadige ; Weihua Zhuang
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Waterloo, Waterloo, ON, Canada
Abstract :
Node clustering is a potential solution to minimize the control signaling overhead of routing protocols in vehicular ad hoc networks (VANETs). High relative vehicle mobility and frequent network topology changes induce instability to node clusters. Node cluster instability inflicts new challenges in maintaining a long route between network nodes, thus increasing the routing overhead. As a result, cluster instability, which is foisted by vehicle mobility, is a crucial issue for cluster-based routing in VANETs. This paper presents a stochastic analysis of the impact of cluster instability on generic routing overhead. A stochastic cluster instability model is adopted to capture the time variations of the cluster structure in terms of the cluster membership change rate and the cluster-overlap state change rate. First, we derive the probability distribution of the intracluster routing overhead using the cluster membership change rate. Second, the intercluster routing overhead is modeled as a rooted tree, with the tree nodes representing the value of the overhead and the tree edges weighted by the probability of a cluster-overlap state change. Numerical results are presented to evaluate the proposed models, which demonstrate a close agreement between analytical and simulation results.
Keywords :
mobility management (mobile radio); routing protocols; signalling protocols; statistical distributions; stochastic processes; telecommunication network topology; vehicular ad hoc networks; VANET node cluster instability; cluster membership change rate; cluster-based routing overhead; cluster-overlap state change rate; control signaling overhead minimization; frequent network topology; generic routing overhead; high relative vehicle mobility; intercluster routing overhead; intracluster routing overhead probability distribution; microscopic vehicle mobility impact; routing protocol; stochastic analysis; stochastic cluster instability model; vehicular ad hoc network; Connected vehicles; Probability distribution; Routing; Routing protocols; Stability analysis; Topology; Vehicle ad hoc networks; Cluster instability; Vehicle mobility; cluster instability; cluster overlap; routing overhead; vehicle mobility;
Journal_Title :
Vehicular Technology, IEEE Transactions on
DOI :
10.1109/TVT.2015.2482904