摘要：
Since the operations of sensors in wireless sensor networks (WSNs) mainly rely on battery energy, energy consumption becomes an important issue. In this paper, we use a global simulated annealing genetic algorithm (GSAGA) to create energy efficient clusters for routing in WSNs. The simulation results show that the proposed GSAGA algorithm has higher efficiency and can achieve better network lifetime and data delivery at the base station than a few existing cluster-based routing protocols.
摘要：
In wireless sensor networks (WSNs) application we sometimes only require single moment local field information, but traditional periodical all-network information collecting mode consumes much network resources. In order to satisfy Quality of Service (QoS) demands of information collection in wireless sensor networks, prolong network lifetime and minimize control overheads while insuring connectivity, a novel on-demand QoS protocol based on near static clustering (OQNSC) is proposed. This protocol employs a new near static clustering and cluster heads (CHs) rotation mechanism to aggregate information of collection fields on demand and selects maximum residual energy routing which meets QoS conditions for transmitting information among cluster heads. Simulation results show that OQNSC protocol can reduce control overheads effectively, prolong network lifetime significantly and improve the successful probability of information transmission.
作者机构：
National Mobile Communications Research Laboratory,Southeast University,China;Hunan City University,
会议名称：
Progress in Electromagnetics Research Symposium 2008(2008年电磁学研究新进展学术研讨会)(PIERS 2008)
会议时间：
2008-03-24
会议地点：
杭州
会议论文集名称：
Progress in Electromagnetics Research Symposium 2008(2008年电磁学研究新进展学术研讨会)(PIERS 2008)论文集
摘要：
Using clustering and aggregation enables better resource allocation and helps im-prove power control in wireless sensor networks (WSNs). Nevertheless, repeated clustering would increase the overhead and reduce network lifetime. An energy-efficient data aggregation protocol based on static clustering (EDASC) is proposed to acquire good network performance. Simula-tion results show that this approach makes network lifetimes much longer and remarkably reduces control overhead.
作者机构：
School of Telecommunication Engineering Beijing University of Posts and Communications Beijing, Chin;Department of computer science & technology Hunan City University Yiyang , China
会议名称：
2007 IEEE International Conference on Automation and Lofistics
会议时间：
2007-08-18
会议地点：
山东济南
会议论文集名称：
2007 IEEE International Conference on Automation a
摘要：
A semi-blind algorithm to perform channel identification for multiple input multiple output(MIMO) systems in frequency and time-selective fading environments is proposed. It contains two steps:training and tracking.In training phase, improved Kalman filtering,namely robust Kalman filtering (RKF), is exploited to identify channel impulse response(CIR). After that,in tracking stage,the RKF and minimum mean-square error feedback decision equalizer (MMSE-DFE) cooperate to track the time-varying channel.The RKF recursions is presented and a closed-form solution for baud rate MIMO MMSE-DFE under perfect knowledge of CIR and correct past decisions conditions is derived. In addition, it regards unknown dc-offset due to zero intermediate frequency(IF) at the receiver as the mean of measurement noise, which is estimated as a byproduct through robust Kalman filters. Finally, it is compared with wellknown ones, such as least mean-square(LMS),recursive least square (RLS),Kalman filtering (KF).All these show that the proposal exhibits better performance.
作者机构：
School of Telecommunication Engineering Beijing University of Posts and Telecommunications Beijing,C;Department of computer science & technology Hunan City University Yiyang,China
摘要：
A improved algorithm to perform channel estimation and equalization for multiple input multiple output(MIMO) systems in frequency and time-selective fading environments is put forward.It contains two steps:training and tracking.In training phase,improved kalman filtering,namly robust kalman filtering(RKF), is exploited to estimate channel impulse response(CIR). After that,in tracking stage,the RKF and minimum mean-square error feedback decision equalizer (MMSE-DFE) cooperate to track the time-varying channel.The RKF recursions is presented and a closed-form solution for baud rate MIMO MMSE-DFE under perfect knowledge of CIR and correct past decisions conditions is derived. In addition, it regards unknown dc-offset due to zero intermediate frequency(IF) at the receiver as the mean of measurement noise, which is estimated as a byproduct through robust Kalman filters.Finally,it is compared with well-known ones,such as least mean-square (LMS),recursive least square (RLS),kalman filtering (KF).All these show that the proposal exhibits better performance.
