Gaussian arbitrarily varying channels
IEEE Transactions on Information Theory
Optimization flow control—I: basic algorithm and convergence
IEEE/ACM Transactions on Networking (TON)
Wireless integrated network sensors
Communications of the ACM
Proceedings of the 9th annual international conference on Mobile computing and networking
Impact of interference on multi-hop wireless network performance
Proceedings of the 9th annual international conference on Mobile computing and networking
Convex Optimization
Wireless Communications
On outer bounds to the capacity region of wireless networks
IEEE/ACM Transactions on Networking (TON) - Special issue on networking and information theory
Design challenges for energy-constrained ad hoc wireless networks
IEEE Wireless Communications
Capacity regions for wireless ad hoc networks
IEEE Transactions on Wireless Communications
Joint scheduling and power control for wireless ad hoc networks
IEEE Transactions on Wireless Communications
Energy-constrained modulation optimization
IEEE Transactions on Wireless Communications
Distributed algorithms for maximum lifetime routing in wireless sensor networks
IEEE Transactions on Wireless Communications
The capacity of wireless networks
IEEE Transactions on Information Theory
Minimum energy mobile wireless networks
IEEE Journal on Selected Areas in Communications
Mathematical decomposition techniques for distributed cross-layer optimization of data networks
IEEE Journal on Selected Areas in Communications
Cross-layer channel-aware approaches for modern wireless networks
MACOM'10 Proceedings of the Third international conference on Multiple access communications
Leveraging dynamic spare capacity in wireless systems to conserve mobile terminals' energy
IEEE/ACM Transactions on Networking (TON)
Link optimization for energy-constrained wireless networks with packet retransmissions
Wireless Communications & Mobile Computing
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We consider a wireless sensor network with energy constraints. We model the energy consumption in the transmitter circuit along with that for data transmission. We model the bottom three layers of the traditional networking stack--the link layer, the medium access control (MAC) layer, and the routing layer. Using these models, we consider the optimization of transmission schemes to maximize the network lifetime. We first consider the optimization of a single layer at a time, while keeping the other layers fixed. We make certain simplifying assumptions to decouple the layers and formulate optimization problems to compute a strategy that maximizes the network lifetime. We then extend this approach to cross-layer optimization of time division multiple access (TDMA) wireless sensor networks. In this case, we construct optimization problems to compute the optimal transmission schemes to an arbitrary degree of accuracy and efficiently. We then consider networks with interference, and propose methods to compute approximate solutions to the resulting optimization problems. We give numerical examples that illustrate the computational approaches as well as the benefits of cross-layer design in wireless sensor networks.