Wireless Sensor Networks Scheduling Algorithm Based on the Probability of Monitoring

Jin Song Chen

doi:10.4028/www.scientific.net/aef.4.32

Abstract

This paper introduces the basics of wireless sensor networks, focusing on the concept of sensor network data collection, data collection mechanisms, data collection in-network data aggregation, data collection and data collection applications Research. This paper presents the data collection in WSN node scheduling concept, analyzed the two data collection in WSN scheduling mechanism, which is based on data collection interval node scheduling mechanism and turn the data based on perceived probability of node sleep scheduling mechanism.

Highlights

Wireless sensor networks (WSN, Wireless Sensor Networks) and wireless sensor networks based on autonomous intelligent system is involved in micro-electromechanical systems, computers, communication, automatic control, artificial intelligence, multi-disciplinary and comprehensive technical
This paper introduces the basics of wireless sensor networks, focusing on the concept of sensor network data collection, data collection mechanisms, data collection in-network data aggregation, data collection and data collection applications Research
Sensor nodes densely distributed in the surveillance area, multiple nodes may be the same event monitoring results to the base station, resulting in a large number of redundant data and redundant data processing to increase the network overhead, on the one hand, the data collection process cited within the network data aggregation mechanism, the compression node of the redundant data collection, reduce redundant data transmission, on the other hand, control the generation of redundant data, application scheduling mechanism to make network data collection cycle in a relatively redundant nodes into sleep state to reduce the generation of redundant data network, saving network energy

Summary

Introduction

Wireless sensor networks (WSN, Wireless Sensor Networks) and wireless sensor networks based on autonomous intelligent system is involved in micro-electromechanical systems, computers, communication, automatic control, artificial intelligence, multi-disciplinary and comprehensive technical.

Results

Conclusion