Summary Efficient energy consumption is the most important challenge in wireless sensors networks. Many solutions have been proposed since many years as efficient medium access control protocols, smart sensing applications, appropriate task scheduling, and so on. Task scheduling allows could participate to optimise energy consumption, it aims to propose planning over repetitive time periods where sensors need to sleep, to collect data and to communicate. In this paper, we propose two scheduling procedures (semi‐dynamic and dynamic) which are executed over the ZigBee network in beacon‐enabled mode. Each of these algorithms has its own features and advantages. The Zigbee super‐frame is used as a means to inform each node on its duties (when to sleep or when to communicate). In order to evaluate our proposals, we have implemented them over TelosB motes running on operating system TinyOS. These algorithms have been implemented on the Z‐Monitor tool . We have compared our scheduling approaches to the usual static scheduling method provided by Zigbee. These evaluations show that our proposals enhance network lifetime and ensure better packet data rate and lower latency.
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Al-Ghamdi et al. (2017) studied this question.
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