A cluster-based approach for routing in dynamic networks
ACM SIGCOMM Computer Communication Review
Multicluster, mobile, multimedia radio network
Wireless Networks
Ad Hoc Wireless Networks: Protocols and Systems
Ad Hoc Wireless Networks: Protocols and Systems
K-clustering in wireless ad hoc networks
Proceedings of the second ACM international workshop on Principles of mobile computing
Energy-centric enabling tecumologies for wireless sensor networks
IEEE Wireless Communications
Toward self-organized mobile ad hoc networks: the terminodes project
IEEE Communications Magazine
Adaptive clustering for mobile wireless networks
IEEE Journal on Selected Areas in Communications
Minimum energy mobile wireless networks
IEEE Journal on Selected Areas in Communications
A mobility-based framework for adaptive clustering in wireless ad hoc networks
IEEE Journal on Selected Areas in Communications
ANMP: ad hoc network management protocol
IEEE Journal on Selected Areas in Communications
A access-based clustering protocol for multihop wireless ad hoc networks
IEEE Journal on Selected Areas in Communications
Cost-effective mobile ad hoc networks management
Future Generation Computer Systems
IEEE Transactions on Wireless Communications
Backbone-based connectivity control for mobile networks
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
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Wireless mobile ad hoc networks consist of mobile nodes which can communicate with each other in a peer-to-peer fashion (over single hop or multiple hops) without any fixed infrastructure such as access point or base station. In a multi-hop ad hoc wireless network, which changes its topology dynamically, efficient resource allocation, energy management, routing and end-to-end throughput performance can be achieved through adaptive clustering of the mobile nodes. Impacts of clustering on radio resource management and protocol performance in a multihop ad hoc network are described, and a survey of the different clustering mechanisms is presented. A comparative performance analysis among the different clustering mechanisms based on the metrics such as cluster stability, load distribution, control signaling overhead, energy-awareness is performed.