ترجمه مقاله نقش ضروری ارتباطات 6G با چشم انداز صنعت 4.0
- مبلغ: ۸۶,۰۰۰ تومان
ترجمه مقاله پایداری توسعه شهری، تعدیل ساختار صنعتی و کارایی کاربری زمین
- مبلغ: ۹۱,۰۰۰ تومان
abstract
Wireless sensor networks (WSNs) as a central part of cyber-physical systems are gaining commercial momentum in many areas, including building monitoring and intelligent home automation. Users wish to successively deploy hardware from different vendors. Interoperability is taken for granted by the customers who want to avoid the need for exhaustive configuration and set-up. Therefore, the need for an interoperable and efficient application layer protocol for machine-to-machine communication in and across the boundaries of WSNs arises. We address these issues with our implementation of TinyIPFIX, an adaption of the IP Flow Information Export (IPFIX) protocol. Throughout the paper we show how to leverage TinyIPFIX in the context of an office scenario and we discuss how the protocol may be applied to other significant WSN deployments presented in literature over the past few years. This article additionally shows how to improve the functionality of TinyIPFIX by adding both syntactic and semantic aggregation functionality to the established system. Finally, we evaluate the performance of TinyIPFIX in a large test bed with over 40 motes running TinyOS and analyze TinyIPFIX’s system performance in comparison with previous approaches.
6. Conclusion
Cyber-physical systems, such as intelligent building control systems like AutHoNe, are needed to achieve both a raised level of comfort for the inhabitants along with a high overall energy effi- ciency of the building. Wireless sensor networks as part of a smart meter infrastructure provide the required level of data quality with temporally and spatially fine-grained measurements. In order too facilitate the efficient transfer of sensor data through a heterogeneous WSN with minimal configuration upon deployment we utilize TinyIPFIX – a versatile and lightweight application level protocol for data exchange. In this paper we briefly described the modifications performed to adapt standard IPFIX to the resource constrained environment of sensor networks and evaluated the performance of the TinyIPFIX implementation with regards to transmission efficiency, system level energy consumption and memory requirements. The rate of successfully transmitted measurement was similar to conventional approaches even though the separation of meta data and measurement data into Template and Data Records in different packets increases the risk of unreadable data. The savings in the amount of transmitted data did not translate directly into energy savings on the system level although a reduction of about 5% could be achieved. Additional energy savings of up to 30% can be gained with the integration of aggregation functionality in TinyAggregation. If mode 1 of the message aggregation is used, 0039 mJ can be saved per aggregated transmission. If the data pre-processing of mode 2 is performed, more energy can be saved due to reduced message sizes within the network. The aggregation functionality can also be changed during the system run on the fly, which is a big advantage to react directly on system changes.