Understanding packet delivery performance in dense wireless sensor networks
Proceedings of the 1st international conference on Embedded networked sensor systems
Routing in Wireless Sensor Networks Using Ant Colony Optimization
AHS '06 Proceedings of the first NASA/ESA conference on Adaptive Hardware and Systems
Cross-Layer Design and Optimization forWireless Sensor Networks
SNPD-SAWN '06 Proceedings of the Seventh ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing
An Adaptive Real-Time Routing Scheme for Wireless Sensor Networks
AINAW '07 Proceedings of the 21st International Conference on Advanced Information Networking and Applications Workshops - Volume 02
Biologically inspired self-governance and self-organisation for autonomic networks
Proceedings of the 1st international conference on Bio inspired models of network, information and computing systems
MONSOON: A Coevolutionary Multiobjective Adaptation Framework for Dynamic Wireless Sensor Networks
HICSS '08 Proceedings of the Proceedings of the 41st Annual Hawaii International Conference on System Sciences
Real-Time Routing in Wireless Sensor Networks
ICDCSW '08 Proceedings of the 2008 The 28th International Conference on Distributed Computing Systems Workshops
Cross-layer ant based algorithm routing for MANETs
Mobility '08 Proceedings of the International Conference on Mobile Technology, Applications, and Systems
BeeAIS: artificial immune system security for nature inspired, MANET routing protocol, BeeADHoc
ICARIS'07 Proceedings of the 6th international conference on Artificial immune systems
Simulation-based real-time routing protocol with load distribution in wireless sensor networks
Wireless Communications & Mobile Computing
Hi-index | 0.00 |
Nowadays, wireless sensor networks (WSNs) are becoming increasingly beneficial, worthwhile and a challenging research area. The advancements in WSN enable a wide range of environmental monitoring and object tracking applications. Moreover, multihop (node by node) routing in WSN is affected by new devices constantly entering or leaving the network. Therefore, nature inspired self-maintained protocols are required to tackle the problems arising in WSN. We proposed ant colony stimulated routing, which shows an outstanding performance for WSNs. In this manuscript, a cross layer design based self-optimized (ACO) routing protocol for WSN and the results are presented. Link quality, energy level and velocity parameters are used to discover an optimal route. The signal strength, remaining power and timestamp metrics are trade in from physical layer to network layer. The emitted decision through the WSN discovery will establish the optimal route from source to destination. The adopted cross layer architecture helps ACO in improving the overall data throughput; especially in the case of real time traffic.