Coding and Modulation for Short Packet Transmission

We study the tradeoff between energy and bandwidth efficiency for short packet-transmission systems for wireless sensor networks. Using random coding bound (RCB) analysis, we show that 16-ary and 32-ary orthogonal modulation schemes provide reasonable balance between energy and bandwidth efficiency. In addition, we compare various channel-coding schemes and conclude that convolutional codes are well suited for wireless sensor network applications having excellent performance and reasonable robustness to imperfections, such as estimation errors.

[1]  Ian F. Akyildiz,et al.  Energy efficiency based packet size optimization in wireless sensor networks , 2003, Proceedings of the First IEEE International Workshop on Sensor Network Protocols and Applications, 2003..

[2]  Dariush Divsalar,et al.  Code Performance as a Function of Block Size , 1998 .

[3]  Z.H. Kashani,et al.  BCH coding and multi-hop communication in wireless sensor networks , 2006, 2006 IFIP International Conference on Wireless and Optical Communications Networks.

[4]  Wayne E. Stark,et al.  Algorithm for joint decoding of turbo codes and M-ary orthogonal modulation , 2000, 2000 IEEE International Symposium on Information Theory (Cat. No.00CH37060).

[5]  Marc P. C. Fossorier,et al.  Iterative reliability-based decoding of linear block codes with adaptive belief propagation , 2005, IEEE Communications Letters.

[6]  J.E. Mazo,et al.  Digital communications , 1985, Proceedings of the IEEE.

[7]  Wayne E. Stark,et al.  Characterization of WSSUS channels: normalized mean square covariance and diversity combining , 2005, IEEE Transactions on Wireless Communications.

[8]  Wayne E. Stark,et al.  Characterization of WSSUS channels: normalized mean square covariance , 2005, IEEE Transactions on Wireless Communications.

[9]  M.C. Valenti,et al.  Towards the capacity of noncoherent orthogonal modulation: BICM-ID for turbo coded NFSK , 2004, IEEE MILCOM 2004. Military Communications Conference, 2004..

[10]  Baoming Bai,et al.  On Short Forward Error-Correcting Codes for Wireless Communication Systems , 2007, 2007 16th International Conference on Computer Communications and Networks.

[11]  M. Melamed Detection , 2021, SETI: Astronomy as a Contact Sport.

[12]  Mohsen Shiva,et al.  Power optimised channel coding in wireless sensor networks using low-density parity-check codes , 2007, IET Commun..

[13]  Kay Römer,et al.  The design space of wireless sensor networks , 2004, IEEE Wireless Communications.

[14]  Mina Sartipi,et al.  Source and channel coding in wireless sensor networks using LDPC codes , 2004, 2004 First Annual IEEE Communications Society Conference on Sensor and Ad Hoc Communications and Networks, 2004. IEEE SECON 2004..

[15]  L. Råde,et al.  Mathematics handbook for science and engineering , 1995 .

[16]  Norifumi Kamiya On algebraic soft-decision decoding algorithms for BCH codes , 2001, IEEE Trans. Inf. Theory.