低成本分布式驅(qū)動(dòng)大型特殊傳感器網(wǎng)絡(luò)[外文翻譯].rar
低成本分布式驅(qū)動(dòng)大型特殊傳感器網(wǎng)絡(luò)[外文翻譯],摘要在傳感器網(wǎng)絡(luò)中分布式驅(qū)動(dòng)是一種主要的手段,它是依靠傳感器提供的信息和執(zhí)行器的能力來(lái)精確地達(dá)到所要期望的條件。在大型特殊式傳感器執(zhí)行器網(wǎng)絡(luò)中,傳統(tǒng)的集中控制形式已不在受歡迎,因?yàn)楸壤?、?duì)信息遲滯和能量消耗量等因素的限制。把分布式驅(qū)動(dòng)的問(wèn)題放在無(wú)線(xiàn)傳感器網(wǎng)絡(luò)中,傳感器和...
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低成本分布式驅(qū)動(dòng)大型特殊傳感器網(wǎng)絡(luò)[外文翻譯]
摘要
在傳感器網(wǎng)絡(luò)中分布式驅(qū)動(dòng)是一種主要的手段,它是依靠傳感器提供的信息和執(zhí)行器的能力來(lái)精確地達(dá)到所要期望的條件。在大型特殊式傳感器執(zhí)行器網(wǎng)絡(luò)中,傳統(tǒng)的集中控制形式已不在受歡迎,因?yàn)楸壤?、?duì)信息遲滯和能量消耗量等因素的限制。把分布式驅(qū)動(dòng)的問(wèn)題放在無(wú)線(xiàn)傳感器網(wǎng)絡(luò)中,傳感器和執(zhí)行器組首先可以得到有效地匹配,這樣問(wèn)題的討論和解決方法都可以在局部方式中進(jìn)行。
在本次討論中,我們給出一組傳感器和可控制的多重輸入源(如光、熱等要改變的想象),要解決這個(gè)問(wèn)題我們可以用公式來(lái)簡(jiǎn)單地描述這傳感執(zhí)行器系統(tǒng)從而用二次方程組設(shè)計(jì)出其數(shù)學(xué)模型。這樣我們便可以局部化地探索式研究調(diào)整來(lái)得到近似理想的狀態(tài),而這個(gè)理想的結(jié)果是信息的相互交換和能量消耗都能精確、迅速地完成。我們也可以簡(jiǎn)單地討論把類(lèi)似的運(yùn)算法則應(yīng)用于傳感器間、執(zhí)行器間等匹配問(wèn)題甚至于傳感器與每一個(gè)執(zhí)行器間的匹配問(wèn)題。光敏傳感器和環(huán)境輸入是本篇文章討論的重點(diǎn)。
Abstract
Distributed actuation is a major application of sensor
networks that relies on the iniformation provided by the sen-
sors and the ability of the actuators to change the environ-
ment, to try to achieve a set of desired conditions. In large
scale ad hoc distributed sensor-actuator networks, tradi-
tional centralized control algorithms are undesirable due
to limiting factors such as scalinig, delays associated with
collectinig informnation, and energy conslumption. To tackle
distributed actuation problems in wireless sensor networks,
groups of sensors anid actuators canfirst be matched (clus-
tered) efficiently and then the problem posed and solved in
localized manners.
In this paper givena a set of sensors and control-
lable sources of superposable phetnomena (e.g. light and
heat), we first formulate and optintally solve the distrib-
uted sensor-actuator problem as an instance of central-
ized quadratic programming. We then investigate localized
heuristics that can achieve near optimal results while trad-
ing off message exchanges and energy consumption for ac-
curacy and latency in obtaining the results. We also briefly
discuss the clustering algorithm used as a heuristicfor solv-
itng the matching problem associated with matching the seni-
sors to the proper actuators. Light sensors and sources are
utsed throughout the paper as an illustrating application.
摘要
在傳感器網(wǎng)絡(luò)中分布式驅(qū)動(dòng)是一種主要的手段,它是依靠傳感器提供的信息和執(zhí)行器的能力來(lái)精確地達(dá)到所要期望的條件。在大型特殊式傳感器執(zhí)行器網(wǎng)絡(luò)中,傳統(tǒng)的集中控制形式已不在受歡迎,因?yàn)楸壤?、?duì)信息遲滯和能量消耗量等因素的限制。把分布式驅(qū)動(dòng)的問(wèn)題放在無(wú)線(xiàn)傳感器網(wǎng)絡(luò)中,傳感器和執(zhí)行器組首先可以得到有效地匹配,這樣問(wèn)題的討論和解決方法都可以在局部方式中進(jìn)行。
在本次討論中,我們給出一組傳感器和可控制的多重輸入源(如光、熱等要改變的想象),要解決這個(gè)問(wèn)題我們可以用公式來(lái)簡(jiǎn)單地描述這傳感執(zhí)行器系統(tǒng)從而用二次方程組設(shè)計(jì)出其數(shù)學(xué)模型。這樣我們便可以局部化地探索式研究調(diào)整來(lái)得到近似理想的狀態(tài),而這個(gè)理想的結(jié)果是信息的相互交換和能量消耗都能精確、迅速地完成。我們也可以簡(jiǎn)單地討論把類(lèi)似的運(yùn)算法則應(yīng)用于傳感器間、執(zhí)行器間等匹配問(wèn)題甚至于傳感器與每一個(gè)執(zhí)行器間的匹配問(wèn)題。光敏傳感器和環(huán)境輸入是本篇文章討論的重點(diǎn)。
Abstract
Distributed actuation is a major application of sensor
networks that relies on the iniformation provided by the sen-
sors and the ability of the actuators to change the environ-
ment, to try to achieve a set of desired conditions. In large
scale ad hoc distributed sensor-actuator networks, tradi-
tional centralized control algorithms are undesirable due
to limiting factors such as scalinig, delays associated with
collectinig informnation, and energy conslumption. To tackle
distributed actuation problems in wireless sensor networks,
groups of sensors anid actuators canfirst be matched (clus-
tered) efficiently and then the problem posed and solved in
localized manners.
In this paper givena a set of sensors and control-
lable sources of superposable phetnomena (e.g. light and
heat), we first formulate and optintally solve the distrib-
uted sensor-actuator problem as an instance of central-
ized quadratic programming. We then investigate localized
heuristics that can achieve near optimal results while trad-
ing off message exchanges and energy consumption for ac-
curacy and latency in obtaining the results. We also briefly
discuss the clustering algorithm used as a heuristicfor solv-
itng the matching problem associated with matching the seni-
sors to the proper actuators. Light sensors and sources are
utsed throughout the paper as an illustrating application.
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