Energy saving and reliable data reduction techniques for single and multi-modal WSNs

Wireless Sensor Networks (WSNs) suffer from many limitations such as the computing capabilities, and the allocated bandwidth. However, the limited energy source is the dominant factor where energy starvation occurs due to the large number of messages that need to be transferred through the network. In this paper, we propose new protocols to save the nodes energy as well as prolonging the overall network lifetime. Not like other protocols proposed in the literature, our protocols consider the accuracy/ reliability of the reported data to the sink node. Our first approach considers different types of wireless sensor networks including single and multimodal wireless sensor networks. Our second protocol utilizes the concept of distributed fuzzy logic agents for energy saving in wireless sensor network. Our approaches are extensively tested using simulation as well as real data captured from MIT WSN laboratory. In addition, the paper introduces a WSN prototype based on our data saving approaches. Our conclusion reveals promising results.