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In Wireless Sensors Network (WSN) the energy parameter is important. The traffic management needs a clever scheduling algorithm that can balance the energy consumption and the time slots also can be divided according to the traffic pattern. Every sensor node collects the environmental data and sends it to the coordinator. Using scheduling algorithm allows the communication process to be done in a...
This paper proposes a dynamic slot scheduling for tasks having different time constraints executed over wireless sensor networks (WSN). These tasks may have different priorities. They are usually repeated periodically. We present an algorithm which is able to provide a dynamic scheduling procedure for all tasks. In the actual version, the scheduling algorithm is executed on the network coordinator...
This study presents a dynamic slot assignment for tasks executed over Wireless Body Area Networks. We consider tasks which have timing constraints for their execution. and different priorities. They are usually repeated periodically. In this study we propose an algorithm which is able to provide a dynamic scheduling procedure for all tasks. In the actual version, the scheduling algorithm is executed...
This paper presents Semi-Dynamic Tree Scheduling Process for Wireless Sensor Networks (WSN). We combined two type of scheduling in this study: the static scheduling for coordinator nodes and the dynamic scheduling for leaf nodes. We consider a cluster tree topology in our study with, one main coordinator (Personal Area Network Coordinator), several children coordinators (Routers) and several end devices...
The MEOW model-based design of an energy-optimized protocol stack addresses energy-aware functional design, optimization, simulation and code generation for WSNs. The goal is to satisfy functional and performance requirements, while maximizing battery lifetime. MEOW has been developed using the Matlab and Stateflow tools, which can be used in a model-based design environment to provide opportunities...
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