000 | 03164nam a2200409Ia 4500 | ||
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000 | 04500nam a22004455i 4500 | ||
001 | 978-981-99-0389-4 | ||
003 | DE-He213 | ||
005 | 20240319120855.0 | ||
007 | cr nn 008mamaa | ||
008 | 230406s2023 si | s |||| 0|eng d | ||
020 |
_a9789819903894 _9978-981-99-0389-4 |
||
082 | _a621.384 | ||
100 |
_aYu, Haibin. _931217 |
||
245 |
_aPerformance Controllable Industrial Wireless Networks _cby Haibin Yu, Peng Zeng, Meng Zheng, Chi Xu, Xi Jin, Wei Liang. _h[electronic resource] / |
||
250 | _a1st ed. 2023. | ||
260 |
_aSingapore _bSpringer Nature Singapore _c2023 |
||
300 |
_aXI, 169 p. 1 illus. _bonline resource. |
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520 | _aWith the rapid proliferation of information and communications technology, industrial automation has undergone a sweeping transformation toward intelligent manufacturing. Wireless communication is widely considered to be one of the key technologies enabling intelligent manufacturing. On one hand, deterministic communication with high reliability and low latency is typically required in industrial automation applications. On the other hand, wireless communication in industrial settings is hindered by strictly limited communication resources and many other factors which mainly derive from the shared and error-prone nature of the wireless channels used. The limited communication resources and harsh channel conditions pose considerable challenges for reliable, real-time data transmission in industrial wireless networks. Resource optimization methods are vital to ensuring the deterministic performance of industrial wireless networks. Traditional resource optimization methods adopt the isolated resource optimization methods for each protocol layer, which is inherently local-optimal and leads performance uncontrollable. To focus on "Performance Controllable Industrial Wireless Networks", this book presents thejoint resource optimization methods across multiple protocol layers for industrial wireless networks; reviews recent, major advances; and discusses the practical implementations of the proposed methods. The joint resource optimization methods discussed here will greatly benefit scientists and researchers in the areas of industrial automation and Industrial Internet of Things. To gain the most from this book, readers should have a fundamental grasp of wireless communication, scheduling theory, and convex optimization. . | ||
650 |
_aAutomation. _931218 |
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650 |
_aCommunications Engineering, Networks. _931219 |
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650 |
_aIndustrial Automation. _931220 |
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650 |
_aIndustrial engineering. _931221 |
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650 |
_aInternet of things. _931222 |
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650 |
_aInternet of Things. _931223 |
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650 |
_aMobile communication systems. _931224 |
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650 |
_aTelecommunication. _931225 |
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650 |
_aWireless and Mobile Communication. _931226 |
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650 |
_aWireless communication systems. _931227 |
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700 |
_aJin, Xi. _931228 |
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700 |
_aLiang, Wei. _931229 |
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700 |
_aXu, Chi. _931230 |
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700 |
_aZeng, Peng. _931231 |
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700 |
_aZheng, Meng. _931232 |
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856 | _uhttps://doi.org/10.1007/978-981-99-0389-4 | ||
942 |
_cEBK _2ddc |
||
999 |
_c15194 _d15194 |