Information‐Theoretic Studies of Wireless Sensor Networks

[1]  Wei Yu,et al.  Parity Forwarding for Multiple-Relay Networks , 2006, IEEE Transactions on Information Theory.

[2]  Liang-Liang Xie,et al.  An achievable rate region for the two-way two-relay channel , 2008, 2008 IEEE International Symposium on Information Theory.

[3]  Panganamala Ramana Kumar,et al.  Multisource, Multidestination, Multirelay Wireless Networks , 2007, IEEE Transactions on Information Theory.

[4]  Gerhard Kramer,et al.  Offset Encoding for Multiple-Access Relay Channels , 2007, IEEE Transactions on Information Theory.

[5]  Robert D. Nowak,et al.  Joint Source–Channel Communication for Distributed Estimation in Sensor Networks , 2007, IEEE Transactions on Information Theory.

[6]  Ayfer Özgür,et al.  Scaling Laws for One- and Two-Dimensional Random Wireless Networks in the Low-Attenuation Regime , 2007, IEEE Transactions on Information Theory.

[7]  Liang-Liang Xie Network Coding and Random Binning for Multi-User Channels , 2007, 2007 10th Canadian Workshop on Information Theory (CWIT).

[8]  Ayfer Özgür,et al.  Hierarchical Cooperation Achieves Optimal Capacity Scaling in Ad Hoc Networks , 2006, IEEE Transactions on Information Theory.

[9]  Armin Wittneben,et al.  Achievable Rate Regions for the Two-way Relay Channel , 2006, 2006 IEEE International Symposium on Information Theory.

[10]  Pramod Viswanath,et al.  On outer bounds to the capacity region of wireless networks , 2006, IEEE Transactions on Information Theory.

[11]  Babak Hassibi,et al.  On the power efficiency of sensory and ad hoc wireless networks , 2003, IEEE Transactions on Information Theory.

[12]  Michael Gastpar,et al.  Cooperative strategies and capacity theorems for relay networks , 2005, IEEE Transactions on Information Theory.

[13]  Brian M. Sadler,et al.  Fundamentals of energy-constrained sensor network systems , 2005, IEEE Aerospace and Electronic Systems Magazine.

[14]  Samir R Das,et al.  Efficient gathering of correlated data in sensor networks , 2005, MobiHoc '05.

[15]  Pradeep K. Khosla,et al.  Sensing capacity for discrete sensor network applications , 2005, IPSN 2005. Fourth International Symposium on Information Processing in Sensor Networks, 2005..

[16]  Michael Gastpar,et al.  Power, spatio-temporal bandwidth, and distortion in large sensor networks , 2005, IEEE Journal on Selected Areas in Communications.

[17]  Panganamala Ramana Kumar,et al.  Computing and communicating functions over sensor networks , 2005, IEEE Journal on Selected Areas in Communications.

[18]  Hesham El Gamal,et al.  On the scaling laws of dense wireless sensor networks: the data gathering channel , 2005, IEEE Transactions on Information Theory.

[19]  Lang Tong,et al.  Exploiting decentralized channel state information for random access , 2005, IEEE Transactions on Information Theory.

[20]  Panganamala Ramana Kumar,et al.  An achievable rate for the multiple-level relay channel , 2005, IEEE Transactions on Information Theory.

[21]  Emre Telatar,et al.  Information-theoretic upper bounds on the capacity of large extended ad hoc wireless networks , 2005, IEEE Transactions on Information Theory.

[22]  Sanjeev R. Kulkarni,et al.  Degraded Gaussian multirelay channel: capacity and optimal power allocation , 2004, IEEE Transactions on Information Theory.

[23]  Sanjeev R. Kulkarni,et al.  Upper bounds to transport capacity of wireless networks , 2004, IEEE Transactions on Information Theory.

[24]  M. Gastpar,et al.  Information-theoretic multihopping for relay networks , 2004, International Zurich Seminar on Communications, 2004.

[25]  Stark C. Draper,et al.  Side information aware coding strategies for sensor networks , 2004, IEEE Journal on Selected Areas in Communications.

[26]  Yunnan Wu,et al.  Information Exchange in Wireless Networks with Network Coding and Physical-layer Broadcast , 2004 .

[27]  Deborah Estrin,et al.  Medium access control with coordinated adaptive sleeping for wireless sensor networks , 2004, IEEE/ACM Transactions on Networking.

[28]  Panganamala Ramana Kumar,et al.  A network information theory for wireless communication: scaling laws and optimal operation , 2004, IEEE Transactions on Information Theory.

[29]  Mingyan Liu,et al.  On the Many-to-One Transport Capacity of a Dense Wireless Sensor Network and the Compressibility of Its Data , 2003, IPSN.

[30]  P. Gupta,et al.  Towards an information theory of large networks: an achievable rate region , 2001, Proceedings. 2001 IEEE International Symposium on Information Theory (IEEE Cat. No.01CH37252).

[31]  Rudolf Ahlswede,et al.  Network information flow , 2000, IEEE Trans. Inf. Theory.

[32]  A.J. van Wijngaarden,et al.  On the white Gaussian multiple-access relay channel , 2000, 2000 IEEE International Symposium on Information Theory (Cat. No.00CH37060).

[33]  Panganamala Ramana Kumar,et al.  RHEINISCH-WESTFÄLISCHE TECHNISCHE HOCHSCHULE AACHEN , 2001 .

[34]  Federico Kuhlmann,et al.  Achievability proof of some multiuser channel coding theorems using backward decoding , 1989, IEEE Trans. Inf. Theory.

[35]  Frans M. J. Willems,et al.  The discrete memoryless multiple-access channel with cribbing encoders , 1985, IEEE Trans. Inf. Theory.

[36]  Aydano B. Carleial,et al.  Multiple-access channels with different generalized feedback signals , 1982, IEEE Trans. Inf. Theory.

[37]  Cyril Leung,et al.  An achievable rate region for the multiple-access channel with feedback , 1981, IEEE Trans. Inf. Theory.

[38]  Abbas El Gamal,et al.  Capacity theorems for the relay channel , 1979, IEEE Trans. Inf. Theory.

[39]  E. Meulen,et al.  Three-terminal communication channels , 1971, Advances in Applied Probability.