Parallel and distributed computation: numerical methods
Parallel and distributed computation: numerical methods
Physical layer driven protocol and algorithm design for energy-efficient wireless sensor networks
Proceedings of the 7th annual international conference on Mobile computing and networking
Wireless Personal Communications: An International Journal
Journal of Global Optimization
Modeling and optimization of transmission schemes in energy-constrained wireless sensor networks
IEEE/ACM Transactions on Networking (TON)
Energy-Aware Adaptive Routing for Large-Scale Ad Hoc Networks: Protocol and Performance Analysis
IEEE Transactions on Mobile Computing
Design challenges for energy-constrained ad hoc wireless networks
IEEE Wireless Communications
Cross-Layer combining of adaptive Modulation and coding with truncated ARQ over wireless links
IEEE Transactions on Wireless Communications
On the delay statistics of SR ARQ over Markov channels with finite round-trip delay
IEEE Transactions on Wireless Communications
Energy-constrained modulation optimization
IEEE Transactions on Wireless Communications
Battery Power Efficiency of PPM and FSK in Wireless Sensor Networks
IEEE Transactions on Wireless Communications
Cross-Layer Energy and Delay Optimization in Small-Scale Sensor Networks
IEEE Transactions on Wireless Communications
Reliable Multi-hop Routing with Cooperative Transmissions in Energy-Constrained Networks
IEEE Transactions on Wireless Communications
Energy minimization of a QAM system with fading
IEEE Transactions on Wireless Communications - Part 1
MAC protocols for wireless sensor networks: a survey
IEEE Communications Magazine
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With the objective to minimize the energy consumption for packet based communications in energy-constrained wireless networks, this paper establishes a theoretical model for the joint optimization of the parameters at the physical layer and data link layer. Multilevel quadrature amplitude modulation (MQAM) and automatic repeat request (ARQ) techniques are considered in the system model. The optimization problem is formulated into a three dimensional nonlinear integer programming (NIP) problem with the modulation order, packet size, and retransmission limit as variables. For the retransmission limit, a simple search method is applied to degenerate the three dimensional problem into a two dimensional NIP problem, for which two optimization algorithms are proposed. One is the successive quadratic programming (SQP) algorithm, combining with the continuous relaxation based branch-and-bound method, which can obtain the global optimal solution since the continuous relaxation problem is proved to be hidden convex. The other is a low-complexity sub-optimal iterative algorithm, combining with the nearest-neighboring method, which can be implemented with a polynomial complexity. Numerical examples are given to illustrate the optimization solution, which suggests that the joint optimization of the physical/data link layer parameters contributes noticeably to the energy saving in energy-constrained wireless networks. Copyright © 2010 John Wiley & Sons, Ltd.