Diversity and adaptation in populations of clustering ants
SAB94 Proceedings of the third international conference on Simulation of adaptive behavior : from animals to animats 3: from animals to animats 3
Biological aspects of mobile communication fields
Wireless Networks - Special issue: exposure hazards and health protection in personal communication services
A distance routing effect algorithm for mobility (DREAM)
MobiCom '98 Proceedings of the 4th annual ACM/IEEE international conference on Mobile computing and networking
AntNet: distributed stigmergetic control for communications networks
Journal of Artificial Intelligence Research
Adaptive clustering for mobile wireless networks
IEEE Journal on Selected Areas in Communications
An ad-hoc network based framework for monitoring brain function
Proceedings of the 11th communications and networking simulation symposium
Light-weight protocol simulation for binary data exchange over heterogeneous networks
SpringSim '10 Proceedings of the 2010 Spring Simulation Multiconference
Mobile medical application model for heterogeneous networks
Proceedings of the 14th Communications and Networking Symposium
Using cloud computing for medical applications
Proceedings of the 15th Communications and Networking Simulation Symposium
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Mobile Ad-Hoc Networks (MANETs) have become a popular subject in the last decade. It is hard to underestimate the potential of this technology to the future of wireless networks, including wireless telephony. MANET is an attractive concept particularly due to the robustness of the infrastructure even under disaster situations.Yet, MANETs are not mature and a plethora of problems remain open --- efficient routing is one of the problems requiring more research effort. A few solutions have been proposed but thus far there is no consensus about their usefulness in real world scenarios. This paper briefly looks at the existing routing algorithms and discusses why clustering is advantageous in a MANET setting; it discusses how clustering nodes in a MANET can potentially facilitate routing. This paper also discusses how the population social structure is used as a motivation for a clustering of node in MANETs and how the clustering may improve routing in these networks.