Wireless Sensor Network (WSN) software development challenges developers in two main ways: through system programming, which requires expertise in hardware and network management; and application programming, which requires domain-specific knowledge. However, domain programmers often lack WSN programming expertise. Likewise, system-specific programmers may find it difficult to understand domain-specific requirements. As a result, domain programmers often refrain from using WSN technology in domain-specific applications. Therefore, we propose a Finite State Machine (FSM)-based approach with an affiliated framework to decouple application functionality from WSN details. Instead of the traditional flat FSM, we use statecharts formalism because of its relaxed definition of system states. In this paper, we compare the statecharts paradigm against two basic WSN sensor node programming frameworks. The result exhibits that statecharts are an advanced paradigm in WSN application development. It motivated us to develop a statecharts framework. In our framework, we choose not to use the typical solution which converts statecharts to programming code. Instead of that, we implement a statecharts middleware associated with action libraries to interpret and actuate raw statecharts on an operating system. This approach allows domain programmers to concentrate on WSN application behavior, and system-specific programmers to focus on developing WSN services. We also introduce our statecharts middleware and present a living example with performance evaluation.
In this paper we present a transmission scheduling protocol for data-gathering Wireless Sensor Networks (WSN). We focus on the delivery performance in term of overall Packet Receive Ratio (PRR) at the sink node. In order to reduce the energy consumption and increase the overall delivery performance, elaborated scheduling algorithm is applied to the transmission and relaying of data packets, based on a beacon-broadcasting global synchronization. We tested the protocol using CiNet nodes, which is built on IEEE 802.15.4 compliant radio modules CC2420 and Jennic JN5148, and obtained significant delivery improvement in multihop scenarios. This protocol is suitable for energy-hungry data gathering wireless sensor networks in which the sensor nodes use a short time window for radio activities in order to save energy.
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