دانلود رایگان مقاله انگلیسی توسعه شبکه های سنسور بی سیم در تدارکات – بالقوه، الزامات، و یک بستر آزمایش به همراه ترجمه فارسی
عنوان فارسی مقاله | توسعه شبکه های سنسور بی سیم در تدارکات – بالقوه، الزامات، و یک بستر آزمایش |
عنوان انگلیسی مقاله | Deployment of Wireless Sensor Networks in Logistics – Potential, Requirements, and a Testbed |
رشته های مرتبط | مهندسی صنایع و فناوری اطلاعات، لجستیک و زنجیره تامین، اینترنت و شبکه های گسترده و شبکه های کامپیوتری |
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کد محصول | F927 |
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فهرست مقاله: چکیده |
بخشی از ترجمه فارسی مقاله: 1. مقدمه |
بخشی از مقاله انگلیسی: nodes (motes) and wireless sensor networks (WSNs) offer a variety of capabilities, which make their deployment very promising for several application areas (cf. e.g. [1], [2]), with logistics being one of them, as outlined in Section II. Logistics processes in general and supply chain event management (SCEM) in particular can significantly benefit from the sensing and communication possibilities of WSNs. For example, environmental parameters influencing the conditions of transported goods, like tilt, shock, humidity or temperature, can be monitored during the transport process. In case critical values are detected an alarm message with the corresponding event data can be transmitted. Thus, with a deployed WSN such before mentioned events can be detected early and directly at their point of origin during the transport. Additionally, a corresponding notification of relevant decision makers becomes possible using the communication capabilities of the deployed WSN. For a beneficial exploitation of the existing possibilities, several requirements have to be considered. Consequently, we have examined four requirement categories for the use of WSNs in logistics, which are presented in Section III. These requirements influence criteria concerning the initial design of a WSN in logistics (design-time), as well as decisions concerning the concrete operation of a WSN in logistics during run-time (Section IV). The evaluation of corresponding solutions can hardly take place during normal operations of a freight carrier due to organizational reasons and cost considerations. Therefore, we developed and installed a testbed at the Multimedia Communications Lab (KOM) at Technische Universität Darmstadt (TUD). The testbed can be used for evaluation purposes besides simulation to incorporate real world problems and factors of influence not modelled in simulation tools (cf. e.g. [3]). II. WSNS IN LOGISTICS – POTENTIAL USE Several application possibilities for WSNs in the domain of logistics have already been identified. Some initial application possibilities in the context of storage logistics have been described [4], but most often a monitoring of transport processes in the context of transportation logistics is envisioned. Naturally in this context, cold chain monitoring and food logistics are a main focus [5], [6]. One example is the intelligent container [7]. Jedermann et al. use a distributed platform of interacting software agents in combination with a processor module, an RFID system and a WSN deployed in a container. With this system, they want to achieve an autonomous control of transport processes. We expect SCEM as one particular promising application area for WSNs in the domain of logistics. SCEM can be understood as a management concept as well as a (software) system supporting this management concept [8]. The focus is laid on the detection of so-called events. In this context, events are understood as essential state changes for certain addressees [9]. These events constitute the basis for the management of the supply chain. Their occurrence indicates the requirement for a management action. Thus, a management concept is implemented which leans on the concept of management-byexception. This management concept needs to be supported by a corresponding (software) system, hence leading to the (software) system perspective of SCEM. SCEM incorporates the five functions ‘monitor’, ‘notify’, ‘simulate’, ‘control’ and ‘measure’ [8], which are executed in this sequence (Fig. 1). With the sensing, processing and data transmission capabilities of WSNs, we expect that the monitor function, the notify function and the measure function can substantially be supported. The sensing units of motes deployed in a container or a truck’s load area can monitor environmental parameters critical for the condition of transported goods. On this basis, the processing units can execute target-performance comparisons to detect events, e.g. in the form of violation of predefined thresholds. Thus, a significant support of the monitor function can be reached. In case an event is detected, the corresponding information can be transferred through the WSN and appropriate gateways to responsible decision makers (cf. Section IV), realizing the notify function. Finally, with the available storage capacity on the motes in the WSN, a history of measured environmental parameters and events can be preserved. These can be used as performance indicators in the sense of the measure function to facilitate an assessment of the monitored transport process. |