Our proposed technique of ship motion monitoring system reduces energy consumption of the network nodes and enhances the network lifetime by balancing network load intelligently.
The proposed models aim to identify energy-efficient paths that minimize the energy consumption of the network from the source sensor to the base station.
One of the most important issues in WSNs is improving the energy consumption of the network while the special properties and the connectivity requirements are considered.
We use a joint consideration of physical and multiple access layer in order to minimize the energy consumption of the network, and hence increasing its lifetime.
Finally, simulation results verify that the proposed scheme is able to reduce the energy consumption of the network while maintaining the traffic delay performance.
In wireless access networks, one of the most recent challenges is reducing the power consumption of the network, while preserving the quality of service perceived by users.
The evaluation has shown the ability of GGR to match the performance of the compared solutions in terms of alert delivery ratio, while minimizing the overall energy consumption of the network.
To balance the energy consumption of the network, according to roles division, camera nodes and common nodes are cooperated to accomplish the workload of image acquisition, compression and transmission.
A set of paths is constructed, corresponding to each edge in the core graph, to minimize either the average packet latency or the total router power consumption of the network.
More precisely, we minimize the total power consumption of the network while taking into account time dimension and multichannel diversity where different disjoint subsets of nodes are required to be active and connected under a tree topology configuration.
This means that the power consumption of the network is notably reduced.
