TDMA scheduling with maximum throughput and fair rate allocation in wireless sensor networks

This paper proposes a new network-wide optimized time division multiple access (TDMA) scheduling scheme for wireless sensor networks (WSNs). It can simultaneously achieve maximum throughput and fair rate allocation given the requirement of network lifetime. To achieve this object, we first formulate the rate allocation problem based on the Lexicographic Max-Min (LMM) criterion, which takes fairness, throughput maximization, and slot reuse into consideration. Then, we develop a polynomial-time algorithm by exploiting iterative linear program (LP) to solve the LMM optimization. Based on the optimal rate allocation vector and relay scheme derived from the optimization model, we present a TDMA scheduling algorithm to achieve a minimum TDMA frame length through slot reuse. We jointly interconnect the LMM rate allocation and TDMA scheduling algorithm with a slot reuse control parameter, and propose a procedure to iteratively calculate a proper value for this parameter. Numerical results show that our proposed TDMA schedule improves the fairness and throughput significantly.

[1]  Liqun Fu,et al.  Fast algorithms for joint power control and scheduling in wireless networks , 2010, IEEE Transactions on Wireless Communications.

[2]  Yuguang Fang,et al.  Lexicographic Maxmin Fairness for Data Collection in Wireless Sensor Networks , 2007, IEEE Transactions on Mobile Computing.

[3]  Marco Zuniga,et al.  Analyzing the transitional region in low power wireless links , 2004, 2004 First Annual IEEE Communications Society Conference on Sensor and Ad Hoc Communications and Networks, 2004. IEEE SECON 2004..

[4]  Jiming Chen,et al.  Multipath Routing and Max-Min Fair QoS Provisioning under Interference Constraints in Wireless Multihop Networks , 2011, IEEE Transactions on Parallel and Distributed Systems.

[5]  Pingyi Fan,et al.  Delay-Constrained Optimal Link Scheduling in Wireless Sensor Networks , 2010, IEEE Transactions on Vehicular Technology.

[6]  Injong Rhee,et al.  Z-MAC: a hybrid MAC for wireless sensor networks , 2005, SenSys '05.

[7]  Theodore S. Rappaport,et al.  Wireless Communications: Principles and Practice (2nd Edition) by , 2012 .

[8]  Stephen P. Boyd,et al.  Convex Optimization , 2004, Algorithms and Theory of Computation Handbook.

[9]  Anthony Ephremides,et al.  Wireless Link Scheduling With Power Control and SINR Constraints , 2006, IEEE Transactions on Information Theory.