Power-aware routing in mobile ad hoc networks
MobiCom '98 Proceedings of the 4th annual ACM/IEEE international conference on Mobile computing and networking
Wireless integrated network sensors
Communications of the ACM
Ad-hoc On-Demand Distance Vector Routing
WMCSA '99 Proceedings of the Second IEEE Workshop on Mobile Computer Systems and Applications
IEEE Transactions on Pattern Analysis and Machine Intelligence
An application-specific protocol architecture for wireless microsensor networks
IEEE Transactions on Wireless Communications
IEEE Communications Magazine
Clustering of the self-organizing map
IEEE Transactions on Neural Networks
| Hi-index | 0.00 |
The use of the wireless sensor networks (WSNs) should be increasing in different fields. However, the sensor size is an important limitation in term of energetic autonomy, and thus of lifetime because battery must be very small. This is the reason why, today, research mainly carries on the energy management in the WSNs, taking into account communications, essentially. In this context, we propose an adaptive routing algorithm based on the clustering that we named LEA2C. This algorithm relies on connectionist learning techniques and more exactly on the topological self-organizing maps (SOMs). New rules for the choice of the clusterheads have also been added. By comparing the results obtained by our protocol with those of other clustering methods used in the WSNs, such as LEACH and LEACH-C, we obtain important gains in term of energy and thus of network lifetime.