Introduction to algorithms
Selection diversity forwarding in a multihop packet radio network with fading channel and capture
ACM SIGMOBILE Mobile Computing and Communications Review
Wireless Communications: Principles and Practice
Wireless Communications: Principles and Practice
Convex Optimization
Linear Programming and Network Flows
Linear Programming and Network Flows
ExOR: opportunistic multi-hop routing for wireless networks
Proceedings of the 2005 conference on Applications, technologies, architectures, and protocols for computer communications
Localization in wireless sensor networks
Proceedings of the 6th international conference on Information processing in sensor networks
Z-MAC: a hybrid MAC for wireless sensor networks
IEEE/ACM Transactions on Networking (TON)
FireSenseTB: a wireless sensor networks testbed for forest fire detection
Proceedings of the 2009 International Conference on Wireless Communications and Mobile Computing: Connecting the World Wirelessly
IEEE Transactions on Mobile Computing
Cooperative wireless communications: a cross-layer approach
IEEE Wireless Communications
A Cross-Layer Strategy for Energy-Efficient Reliable Delivery 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
Cross-layer optimization frameworks for multihop wireless networks using cooperative diversity
IEEE Transactions on Wireless Communications
IEEE Transactions on Wireless Communications
Distributed energy-efficient cooperative routing in wireless networks
IEEE Transactions on Wireless Communications
A simple Cooperative diversity method based on network path selection
IEEE Journal on Selected Areas in Communications
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This paper addresses the problem of joint design of routing, medium access control (MAC), and physical layer protocols with cooperative communication to achieve minimum power cost in packet error rate (PER) constrained wireless sensor networks (WSNs). The problem is solved in two steps. First, we calculate the minimum power cost with a specified PER objective between any two nodes, assuming either cooperative (with a single relay node) or direct communication between the two nodes. It is shown that the minimum per-hop power cost is found in 2M and log"2M steps for cooperative and direct communication, respectively, where M is the number of power levels. Second, we formulate the cross-layer design problem as a linear optimization problem to minimize the power cost of the whole network, using the minimum per-hop power cost determined in the first step as input and assuming time division multiple access (TDMA) at the MAC layer. Numerical results show that, at a desired end-to-end PER objective, cross-layer optimization with cooperative communication achieves up to 70% of power savings compared to that without cooperative communication.