Adaptive protocols for information dissemination in wireless sensor networks
MobiCom '99 Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking
Directed diffusion for wireless sensor networking
IEEE/ACM Transactions on Networking (TON)
Energy-Efficient Communication Protocol for Wireless Microsensor Networks
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 8 - Volume 8
Ad-hoc On-Demand Distance Vector Routing
WMCSA '99 Proceedings of the Second IEEE Workshop on Mobile Computer Systems and Applications
SPEED: A Stateless Protocol for Real-Time Communication in Sensor Networks
ICDCS '03 Proceedings of the 23rd International Conference on Distributed Computing Systems
Ant Colony Optimization
Hybrid sensor networks: a small world
Proceedings of the 6th ACM international symposium on Mobile ad hoc networking and computing
MANET simulation studies: the incredibles
ACM SIGMOBILE Mobile Computing and Communications Review - Special Issue on Medium Access and Call Admission Control Algorithms for Next Generation Wireless Networks.: The Digital Library version of this issue has a corrected special issue title compared to the one in the print version of the issue.
A new networking model for biological applications of ad hoc sensor networks
IEEE/ACM Transactions on Networking (TON)
A survey on clustering algorithms for wireless sensor networks
Computer Communications
A formal performance modeling framework for bio-inspired ad hoc routing protocols
Proceedings of the 10th annual conference on Genetic and evolutionary computation
BeeSensor: A Bee-Inspired Power Aware Routing Protocol for Wireless Sensor Networks
Proceedings of the 2007 EvoWorkshops 2007 on EvoCoMnet, EvoFIN, EvoIASP,EvoINTERACTION, EvoMUSART, EvoSTOC and EvoTransLog: Applications of Evolutionary Computing
AntNet: distributed stigmergetic control for communications networks
Journal of Artificial Intelligence Research
Information Sciences: an International Journal
Distributed routing in wireless sensor networks using energy welfare metric
Information Sciences: an International Journal
Information Sciences: an International Journal
Energy-Efficient Beaconless Geographic Routing in Wireless Sensor Networks
IEEE Transactions on Parallel and Distributed Systems
On performance modeling of ad hoc routing protocols
EURASIP Journal on Wireless Communications and Networking
Swarm intelligence based routing protocol for wireless sensor networks: Survey and future directions
Information Sciences: an International Journal
An energy-efficient ant-based routing algorithm for wireless sensor networks
ANTS'06 Proceedings of the 5th international conference on Ant Colony Optimization and Swarm Intelligence
Routing techniques in wireless sensor networks: a survey
IEEE Wireless Communications
Information Sciences: an International Journal
An artificial bee colony algorithm for the maximally diverse grouping problem
Information Sciences: an International Journal
Defending collaborative false data injection attacks in wireless sensor networks
Information Sciences: an International Journal
Wireless Personal Communications: An International Journal
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Design and development of power-aware, scalable and performance-efficient routing protocols for wireless sensor networks (WSNs) is an active area of research. In this paper, we show that insect-colonies-based-intelligence - commonly referred to as Swarm Intelligence (SI) - serves as an ideal model for developing routing protocols for WSNs because they consist of minimalist, autonomous individuals that through local interactions self-organize to produce system-level behaviors that show life-long adaptivity to changes and perturbations in an external environment. In this paper, we propose bee-inspired BeeSensor protocol that is energy-aware, scalable and efficient. The important contribution of this work is a three phase protocol design strategy: (1) we first take inspiration from biological systems to develop a distributed, decentralized and simple routing protocol, (2) we formally model important performance metrics of our protocol to get an analytic insight into its behavior, and (3) we improve our protocol on the basis of our analysis in phase 2. We then evaluate its performance in a sensor network simulator. The results of our experiments demonstrate the utility of this three phase protocol engineering, which helped BeeSensor in achieving the best performance with the least communication and processing costs - two main sources of energy consumption in sensor networks - as compared to other SI based WSN routing protocols.