Sensor networks with mobile access: optimal random access and coding

We consider random access and coding schemes for sensor networks with mobile access (SENMA). Using an orthogonal code-division multiple access (CDMA) as the physical layer, an opportunistic ALOHA (O-ALOHA) protocol that utilizes channel state information is proposed. Under the packet capture model and using the asymptotic throughput as the performance metric, we show that O-ALOHA approaches the throughput equal to the spreading gain with an arbitrarily small power at each sensor. This result implies that O-ALOHA is close to the optimal centralized scheduling scheme for the orthogonal CDMA networks. When side information such as location is available, the transmission control is modified to incorporate either the distribution or the actual realization of the side information. Convergence of the throughput with respect to the size of the network is analyzed. For networks allowing sensor collaborations, we combine coding with random access by proposing two coded random access schemes: spreading code dependent and independent transmissions. In the low rate regime, the spreading code independent transmission has a larger random coding exponent (therefore, faster decay of error probability) than that of the spreading code dependent transmission. On the other hand, the spreading code dependent transmission gives higher achievable rate.

[1]  Raymond Knopp,et al.  Information capacity and power control in single-cell multiuser communications , 1995, Proceedings IEEE International Conference on Communications ICC '95.

[2]  Wendi Heinzelman,et al.  Proceedings of the 33rd Hawaii International Conference on System Sciences- 2000 Energy-Efficient Communication Protocol for Wireless Microsensor Networks , 2022 .

[3]  Zhen Liu,et al.  Capacity, delay and mobility in wireless ad-hoc networks , 2003, IEEE INFOCOM 2003. Twenty-second Annual Joint Conference of the IEEE Computer and Communications Societies (IEEE Cat. No.03CH37428).

[4]  Ian F. Akyildiz,et al.  Sensor Networks , 2002, Encyclopedia of GIS.

[5]  Lang Tong,et al.  Medium access control with channel state information for large sensor networks , 2002, 2002 IEEE Workshop on Multimedia Signal Processing..

[6]  Stuart C. Schwartz,et al.  Optimal decentralized control in the random access multipacket channel , 1989 .

[7]  D. A. Bell,et al.  Information Theory and Reliable Communication , 1969 .

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

[9]  Lang Tong,et al.  Sensor Network with Multiple Mobile Access Points , 2004 .

[10]  Waylon Brunette,et al.  Data MULEs: modeling a three-tier architecture for sparse sensor networks , 2003, Proceedings of the First IEEE International Workshop on Sensor Network Protocols and Applications, 2003..

[11]  Lang Tong,et al.  Cooperative Sensor Networks with Misinformed Sensors , 2004 .

[12]  Thomas M. Cover,et al.  Elements of Information Theory , 2005 .

[13]  Theodore S. Rappaport,et al.  Wireless communications - principles and practice , 1996 .

[14]  Ajay Chandra V. Gummalla,et al.  Wireless medium access control protocols , 2000, IEEE Communications Surveys & Tutorials.

[15]  Bruce E. Hajek,et al.  On the capture probability for a large number of stations , 1997, IEEE Trans. Commun..

[16]  Lang Tong,et al.  Sensitivity and Coding of Opportunistic ALOHA in Sensor Networks with Mobile Access , 2005, J. VLSI Signal Process..

[17]  David Tse,et al.  Optimal sequences, power control, and user capacity of synchronous CDMA systems with linear MMSE multiuser receivers , 1999, IEEE Trans. Inf. Theory.

[18]  Randall Berry,et al.  Exploiting multiuser diversity for medium access control in wireless networks , 2003, IEEE INFOCOM 2003. Twenty-second Annual Joint Conference of the IEEE Computer and Communications Societies (IEEE Cat. No.03CH37428).

[19]  Lang Tong,et al.  Sensor networks with mobile agents , 2003, IEEE Military Communications Conference, 2003. MILCOM 2003..

[20]  David Tse,et al.  Linear Multiuser Receivers: Effective Interference, Effective Bandwidth and User Capacity , 1999, IEEE Trans. Inf. Theory.

[21]  Michele Zorzi,et al.  Capture and retransmission control in mobile radio , 1994, IEEE J. Sel. Areas Commun..

[22]  Gregory J. Pottie,et al.  Protocols for self-organization of a wireless sensor network , 2000, IEEE Wirel. Commun..

[23]  Lang Tong,et al.  Quality-of-service specific information retrieval for densely deployed sensor networks , 2003, IEEE Military Communications Conference, 2003. MILCOM 2003..

[24]  Mostafa H. Ammar,et al.  Message ferrying: proactive routing in highly-partitioned wireless ad hoc networks , 2003, The Ninth IEEE Workshop on Future Trends of Distributed Computing Systems, 2003. FTDCS 2003. Proceedings..