传感技术学报
傳感技術學報
전감기술학보
Journal of Transduction Technology
2013年
8期
1140-1146
,共7页
姚信威%王万良%吴腾超%岑跃峰
姚信威%王萬良%吳騰超%岑躍峰
요신위%왕만량%오등초%잠약봉
无线传感网%能耗%优化%建模
無線傳感網%能耗%優化%建模
무선전감망%능모%우화%건모
WSNs%energy consumption%optimization%modeling
针对无线传感网节点能量约束问题,提出单位比特数据传输能耗最小化模型。从物理层和硬件电路角度,建立收发器能耗模型,根据不同的调制机制,并考虑数据重传机制,提出了基于单位数据传输能耗最小化的最佳负载大小模型和最优通信距离模型。分析了在不同信号干扰、通信距离、负载大小、发射功率以及不同调制机制下的最优能耗值。实验结果进一步验证:当信号干扰强度较大时,短距离通信更有利于系统节能;随着通信距离的增加,最佳负载大小值趋于常量;采用自适应发射功率能明显降低数据传输能耗;随着通信距离或者干扰强度的增大,数据传输能耗以指数形式增加。
針對無線傳感網節點能量約束問題,提齣單位比特數據傳輸能耗最小化模型。從物理層和硬件電路角度,建立收髮器能耗模型,根據不同的調製機製,併攷慮數據重傳機製,提齣瞭基于單位數據傳輸能耗最小化的最佳負載大小模型和最優通信距離模型。分析瞭在不同信號榦擾、通信距離、負載大小、髮射功率以及不同調製機製下的最優能耗值。實驗結果進一步驗證:噹信號榦擾彊度較大時,短距離通信更有利于繫統節能;隨著通信距離的增加,最佳負載大小值趨于常量;採用自適應髮射功率能明顯降低數據傳輸能耗;隨著通信距離或者榦擾彊度的增大,數據傳輸能耗以指數形式增加。
침대무선전감망절점능량약속문제,제출단위비특수거전수능모최소화모형。종물리층화경건전로각도,건립수발기능모모형,근거불동적조제궤제,병고필수거중전궤제,제출료기우단위수거전수능모최소화적최가부재대소모형화최우통신거리모형。분석료재불동신호간우、통신거리、부재대소、발사공솔이급불동조제궤제하적최우능모치。실험결과진일보험증:당신호간우강도교대시,단거리통신경유리우계통절능;수착통신거리적증가,최가부재대소치추우상량;채용자괄응발사공솔능명현강저수거전수능모;수착통신거리혹자간우강도적증대,수거전수능모이지수형식증가。
To solve the issue of energy-constrained in Wireless sensor Networks( WSNs) ,a novel model is proposed to minimize the energy consumption per bit over an additive white Gaussian Noise channel. The energy consumption includes two aspectes:the transmission energy and the circuit energy consumption. It can be achieved by deriving expressions for the optimum transmission distance and packet length based on packet retransmission and specific modulation schemes. The values of minimized energy consumption are analyzed and compared under different interferences,transmission distances, payload sizes, transmission energies and modulations. Numerical results show:(a)under severe wireless interference condition,it is better to use short distances to transmit datas;(b)the optimum packet length converges to a constant value for long transmission distances;( c ) it is preferable to use adaptive transmission power to minimize energy consumption;( d ) with the increase of transmission distances or wireless interference,the energy consumption almost rapidly increases in exponential form.