A formal performance modeling framework for bio-inspired ad hoc routing protocols
Proceedings of the 10th annual conference on Genetic and evolutionary computation
A Scalable Formal Framework for Analyzing the Behavior of Nature-Inspired Routing Protocols
Proceedings of the 10th international conference on Parallel Problem Solving from Nature: PPSN X
Formal Modeling of BeeAdHoc: A Bio-inspired Mobile Ad Hoc Network Routing Protocol
ANTS '08 Proceedings of the 6th international conference on Ant Colony Optimization and Swarm Intelligence
Bio-inspired telecommunications
Proceedings of the 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference: Late Breaking Papers
A survey on bio-inspired networking
Computer Networks: The International Journal of Computer and Telecommunications Networking
Honey-bee dancing-inspired architecture for fault tolerance in wireless sensor networks
Proceedings of the 12th annual conference on Genetic and evolutionary computation
Bee-sensor: a step towards meta-routing strategies in hybrid ad hoc networks
ANTS'10 Proceedings of the 7th international conference on Swarm intelligence
On performance modeling of ad hoc routing protocols
EURASIP Journal on Wireless Communications and Networking
Enhanced artificial bee colony algorithm performance
ICCOMP'10 Proceedings of the 14th WSEAS international conference on Computers: part of the 14th WSEAS CSCC multiconference - Volume II
Bonding as a swarm: applying bee nest-site selection behaviour to protein docking
Proceedings of the 13th annual conference on Genetic and evolutionary computation
Ontology driven bee's foraging approach based self adaptive online recommendation system
Journal of Systems and Software
Minimizing vehicular travel times using the multi-agent system beejama
PROFES'12 Proceedings of the 13th international conference on Product-Focused Software Process Improvement
Discrete event modeling of swarm intelligence based routing in network systems
Information Sciences: an International Journal
Heuristic-based neural networks for stochastic dynamic lot sizing problem
Applied Soft Computing
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
BeeIP - A Swarm Intelligence based routing for wireless ad hoc networks
Information Sciences: an International Journal
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Honey bee colonies demonstrate robust adaptive efficient agent-based communications and task allocations without centralized controls desirable features in network design. This book introduces a multipath routing algorithm for packet-switched telecommunication networks based on techniques observed in bee colonies. The algorithm, BeeHive, is dynamic, simple, efficient, robust and flexible, and it represents an important step towards intelligent networks that optimally manage resources. The author guides the reader in a survey of nature-inspired routing protocols and communication techniques observed in insect colonies. He then offers the design of a scalable framework for nature-inspired routing algorithms, and he examines a practical application using real networks of Linux routers. He also utilizes formal techniques to analytically model the performance of nature-inspired routing algorithms. In the last chapters of the book, he introduces an immune-inspired security framework for nature-inspired algorithms, and uses the wisdom of the hive for routing in ad hoc and sensor networks. Finally, the author provides a comprehensive bibliography to serve as a reference for nature-inspired solutions to networking problems. This book bridges the gap between natural computing and computer networking. What sets this book apart from other texts on this subject is its natural engineering approach in which the challenges and objectives of a real-world system are identified before its solution, nature-inspired or otherwise, is discussed. This balanced exposition of the book makes it equally suitable for telecommunication network designers and theorists, and computer science researchers engaged with artificial intelligence, agents, and nature-inspired techniques.