Power-aware routing in mobile ad hoc networks
MobiCom '98 Proceedings of the 4th annual ACM/IEEE international conference on Mobile computing and networking
An Adaptive Multihop Clustering Scheme for Highly Mobile Ad Hoc Networks
ISADS '03 Proceedings of the The Sixth International Symposium on Autonomous Decentralized Systems (ISADS'03)
Energy Efficient Broadcast Routing in Static Ad Hoc Wireless Networks
IEEE Transactions on Mobile Computing
ISADS '07 Proceedings of the Eighth International Symposium on Autonomous Decentralized Systems
ICDCSW '08 Proceedings of the 2008 The 28th International Conference on Distributed Computing Systems Workshops
A hierarchical multicast routing based on inter-cluster group mesh for mobile ad hoc networks
MSN'07 Proceedings of the 3rd international conference on Mobile ad-hoc and sensor networks
ICCSN '10 Proceedings of the 2010 Second International Conference on Communication Software and Networks
Real-Time Self-Organizing Autonomous Clustering for Mobile Ad Hoc Networks
ISORCW '10 Proceedings of the 2010 13th IEEE International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing Workshops
A SURVEY OF QOS ROUTING SOLUTIONS FOR MOBILE AD HOC NETWORKS
IEEE Communications Surveys & Tutorials
A survey of clustering schemes for mobile ad hoc networks
IEEE Communications Surveys & Tutorials
A survey on power control issues in wireless sensor networks
IEEE Communications Surveys & Tutorials
Introduction to the Special Issue: SORT 2010
Concurrency and Computation: Practice & Experience
Hi-index | 0.00 |
In order to realize hierarchical routings that should be executed in large-scaled mobile ad hoc networks that vary their topologies considerably with time, we have developed autonomous clustering with high scalability and adaptability. In autonomous clustering, an entire network is divided into disjoint subnetworks (called clusters), and they are maintained by periodically sending messages within the clusters. This paper proposes real-time self-organizing autonomous clustering, in which interval and power for transmitting such messages are dynamically changed depending on variation of mobility and density of the clusters. Because their mobility and density can be estimated by local information obtained in the clusters, and according to their respective change the clusters are self-organized in real-time way, the proposed real-time self-organizing autonomous clustering can contribute to enhancement of its scalability and adaptability. Copyright © 2011 John Wiley & Sons, Ltd.