Routing algorithms for wireless sensor networks using ant colony optimization

Authors:
Christian Domínguez-Medina;Nareli Cruz-Cortés
Affiliations:
Center for Computing Research, National Polytechnic Institute, Mexico;Center for Computing Research, National Polytechnic Institute, Mexico
Venue:
MICAI'10 Proceedings of the 9th Mexican international conference on Artificial intelligence conference on Advances in soft computing: Part II
Year:
2010

Citing 8
Cited 0

Energy-Efficient Communication Protocol for Wireless Microsensor Networks

HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 8 - Volume 8
Ant Colony Optimization-Based Location-Aware Routing for Wireless Sensor Networks

WASA '08 Proceedings of the Third International Conference on Wireless Algorithms, Systems, and Applications
Pheromone based energy aware directed diffusion algorithm for wireless sensor network

ICIC'07 Proceedings of the intelligent computing 3rd international conference on Advanced intelligent computing theories and applications
Colony algorithm for wireless sensor networks adaptive data aggregation routing schema

LSMS'07 Proceedings of the Life system modeling and simulation 2007 international conference on Bio-Inspired computational intelligence and applications
ASDP: an action-based service discovery protocol using ant colony algorithm in wireless sensor networks

MSN'07 Proceedings of the 3rd international conference on Mobile ad-hoc and sensor networks
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
ACO based qos routing algorithm for wireless sensor networks

UIC'06 Proceedings of the Third international conference on Ubiquitous Intelligence and Computing
Ant colony system: a cooperative learning approach to the traveling salesman problem

IEEE Transactions on Evolutionary Computation

Quantified Score

Hi-index	0.00

Visualization

Abstract

Wireless Sensor Networks have become an active research topic in the last years. The routing problem is a very important part in this kind of networks that need to be considered in order to maximize the network life time. As the size of the network increases, routing becomes more complex due the amount of sensor nodes in the network. Sensor nodes in Wireless Sensor Networks are very constrained in memory capabilities, processing power and batteries. Ant Colony Optimization based routing algorithms have been proposed to solve the routing problem trying to deal with these constrains. We present a comparison of two Ant Colony-based routing algorithms, taking into account current amounts of energy consumption under different scenarios and reporting the usual metrics for routing in wireless sensor networks.