Abstract
The demand for event-driven real-time applications for timely and reliable data acquisition is growing in industrial sectors. However, it is challenging to satisfy the requirements since constraints such as limited available energy and bandwidth are inherent in a wireless sensor network. To deal with timely delivery, one desirable approach is to improve network throughput so that more real-time applications with tighter time constraints can be satisfied in any given network. To deal with reliable delivery, the use of a carrier sense multiple access mechanism for data transmission is preferred, along with the use of a sharable slot within which multiple nodes compete to send data. Thus, we present a method of using multiple channels and a way to optimize the size of the sharable slot. The proposed channel-slot–scheduling algorithm tries to optimize the size of a sharable slot when multiple channels are used. The algorithm also deals with situations where nodes generate multiple data packets in each round of a data-gathering period. It is shown through simulation that our approach greatly outperforms others on some selected metrics.
Highlights
Demand has been growing for wireless sensor networks (WSNs) in industrial sectors where a large number of sensor nodes cooperate to perform data gathering for a device or process control as well as for traditional data monitoring
We discuss the evaluation results of our approach compared to MC-LMAC in
We discuss the evaluation results of our approach compared to MC-LMAC in terms of packet reception ratio, network throughput, and energy efficiency
Summary
Demand has been growing for wireless sensor networks (WSNs) in industrial sectors where a large number of sensor nodes cooperate to perform data gathering for a device or process control as well as for traditional data monitoring. One example of an industrial WSN application is the safety monitoring and control system (SMOCS) [1], which is used to ensure safety in a working environment by collecting and analyzing data readings (or context information) from the monitored objects. Based on the context of the collected information, the SMOCS server needs to take the appropriate actions. The server may require some specific data (i.e., multimedia data) with high traffic rate from specific sensors embedded with audio/video camera devices for better judgment of the situation. It is a challenge to shorten the data-gathering time of applications with varying traffic in wireless multi-hop sensor networks since a node's bandwidth demand may vary over time, depending on a particular situation or application
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