Introduction to the theory of neural computation
Introduction to the theory of neural computation
Wireless digital communications: modulation & spread spectrum applications
Wireless digital communications: modulation & spread spectrum applications
Ad Hoc Wireless Networks: Protocols and Systems
Ad Hoc Wireless Networks: Protocols and Systems
Computer Networks
Wireless sensor networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
Ad-hoc On-Demand Distance Vector Routing
WMCSA '99 Proceedings of the Second IEEE Workshop on Mobile Computer Systems and Applications
Neural networks for routing of communication networks with unreliable components
IEEE Transactions on Neural Networks
Survey Paper: Routing protocols in ad hoc networks: A survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
| Hi-index | 0.00 |
This paper presents an approach to power-conserving routing of ad hoc mobile wireless networks. This approach relies on entropy-constrained routing algorithms, which were developed by utilizing the information-theoretic concept of the entropy to gradually reduce the uncertainty associated with route discovery through a deterministic annealing process. Entropy-constrained routing algorithms were tested using a single performance metric related to the distance between the nodes and to the power consumption associated with packet transmission. This paper also expands the versatility of entropy-constrained routing algorithms by making them capable of discovering routes based on multiple performance metrics. In this study, the second performance metric employed for route discovery relied on the power availability in the nodes of the network. The proposed routing approach was evaluated in terms of the power consumption associated with the routing of packets over an ad hoc mobile network in a variety of operating conditions.