Abstract
Underwater wireless sensor networks (UWSNs) have become a popular research topic due to the challenges of underwater communication. The existing mechanisms for collecting data from UWSNs focus on reducing the data redundancy and communication energy consumption, while ignoring the problem of energy-saving transmission after compression. In order to improve the efficiency of data collection, we propose a data uploading decision-making strategy based on the high similarity of the collected data and the energy consumption of the high similarity data compression. This decision-making strategy efficiently optimizes the energy consumption of the networks. By analyzing the data similarity, the quality of network communication, and uploading energy consumption, the decision-making strategy provides an energy-efficient data upload strategy for underwater nodes, which reduces the energy consumption in various network settings. The simulation results show that compared with several existing data compression and uploading methods, the proposed data upload methods has better energy saving effect in different network scenarios.
Highlights
Energy optimization can be achieved through two aspects of data compression: reducing computational complexity [2] or reducing transmission power to lower the computational energy consumption occurring in local nodes
Since an Orthogonal Frequency Division Multiplex (OFDM) modem is capable of working in five modes, the working modes [46] of OFDM modems are essentially decided by the current Signal to Interference plus Noise Ratio (SINR), which reflects the current channel condition
A large problem exists in underwater sensor energy networkefficiency data acquisition, with considerable gateway, thesimilarity optimized compression can obtain negative gain, mainly because the amounts of redundant data in the network
Summary
On a time-domain compression algorithm, compressed data is sent after the node hardware configuration satisfy computational complexity of these algorithms. For short-range communication (
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