Workflow-based Service-oriented WSNs have recently received a lot of attention from both academia and industry. With well-defined service components, various flexible WSN applications can be developed. However, the key characteristic of WSNs is resource constraints. Sensor nodes in WSNs have limited storage, computation and especially limited energy. As service components in WSNs rely on the data gathered by sensor nodes, they are also resource-constrained. Unfortunately, traditional workflow technologies (i.e., service selection, composition and adaptation) ignore the residual energy of services. This will bring unbalanced energy consumption and furthermore shorten the network lifetime. In order to resolve this issue, we proposed an energy-aware QoS-guaranteed workflow management mechanism. In this mechanism, a new QoS model is first presented to improve the QoS evaluation. Then, based on this QoS model, an efficient service selection schema, which considers both the energy and the QoS of services, is proposed. Furthermore, an adaptation mechanism for balanced energy consumption is also proposed. Experimental evaluations demonstrate the capability of our proposed approach.

中文翻译：

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具有QoS保证的无线传感器网络中的能量感知服务选择和自适应

基于工作流 面向服务 无线传感器网络近来受到学术界和工业界的广泛关注。具有定义明确的服务组件，各种灵活无线传感器网络可以开发应用程序。然而，其主要特点是无线传感器网络s 是资源约束。传感器节点无线传感器网络s 具有有限的存储、计算，尤其是有限的能量。作为服务组件无线传感器网络s 依赖于传感器节点收集的数据，它们也是资源受限的。不幸的是，传统的工作流技术（即服务选择、组合和适配）忽略了服务的剩余能量。这将带来不平衡的能量消耗，进而缩短网络寿命。为了解决这个问题，我们提出了一种能量感知服务质量-有保障的工作流管理机制。在这个机制中，一个新的服务质量 模型首先被提出来改进 服务质量评估。那么基于这个服务质量 模型，一种有效的服务选择模式，它同时考虑了能量和 服务质量的服务，建议。此外，还提出了平衡能量消耗的适应机制。实验评估证明了我们提出的方法的能力。