Stationary distributions of random walk mobility models for wireless ad hoc networks
Proceedings of the 6th ACM international symposium on Mobile ad hoc networking and computing
Spatial Node Distribution of the Random Waypoint Mobility Model with Applications
IEEE Transactions on Mobile Computing
Connectivity in wireless ad-hoc networks with a log-normal radio model
Mobile Networks and Applications
Analysis of Clustering and Routing Overhead for Clustered Mobile Ad Hoc Networks
ICDCS '06 Proceedings of the 26th IEEE International Conference on Distributed Computing Systems
A Self-organized Personal Network Architecture
ICNS '07 Proceedings of the Third International Conference on Networking and Services
A Cluster Based Service Discovery Model for Mobile Ad Hoc Networks
WIMOB '07 Proceedings of the Third IEEE International Conference on Wireless and Mobile Computing, Networking and Communications
Hierarchical Routing Overhead in Mobile Ad Hoc Networks
IEEE Transactions on Mobile Computing
Stationary Distributions for the Random Waypoint Mobility Model
IEEE Transactions on Mobile Computing
A survey of clustering schemes for mobile ad hoc networks
IEEE Communications Surveys & Tutorials
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Clustering has been used as a fundamental tool to improve scalability in large wireless ad hoc networks. Techniques based on clustering, such as routing, self-organization, context management, service discovery, etc., ensure QoS in wireless ad hoc networks when the number of devices increases. The crucial issue of clustering is the overhead generated during the cluster formation and maintenance phases. An in-depth study of the influence of node mobility on cluster formation and maintenance overhead is still missing. There is little insight into the performance of clustering in the presence of different node mobility patterns. This paper presents a detailed analytical study of the clustering overhead considering node mobility in wireless ad hoc networks, and offers a way to understand how different the node mobility parameters influence the clustering overhead. The analytical results are compared with the simulation results with sufficient accuracy. In summary, this paper provides a fundamental understanding of mobility behaviors of devices and the clustering overhead.