Parallel and distributed computation: numerical methods
Parallel and distributed computation: numerical methods
Optimization flow control—I: basic algorithm and convergence
IEEE/ACM Transactions on Networking (TON)
CODA: congestion detection and avoidance in sensor networks
Proceedings of the 1st international conference on Embedded networked sensor systems
Versatile low power media access for wireless sensor networks
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
Optimal Resource Allocation in Wireless Ad Hoc Networks: A Price-Based Approach
IEEE Transactions on Mobile Computing
Interference-aware fair rate control in wireless sensor networks
Proceedings of the 2006 conference on Applications, technologies, architectures, and protocols for computer communications
Application-oriented flow control: fundamentals, algorithms and fairness
IEEE/ACM Transactions on Networking (TON)
Wireless sensor network survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
Utility max-min fair resource allocation for communication networks with multipath routing
Computer Communications
Explicit and precise rate control for wireless sensor networks
Proceedings of the 7th ACM Conference on Embedded Networked Sensor Systems
A simple framework of utility max-min flow control using sliding mode approach
IEEE Communications Letters
Feasibility of the receiver capacity model for multi-hop wireless networks
WiOPT'09 Proceedings of the 7th international conference on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks
RCRT: Rate-controlled reliable transport protocol for wireless sensor networks
ACM Transactions on Sensor Networks (TOSN)
Pricing and power control in a multicell wireless data network
IEEE Journal on Selected Areas in Communications
Fundamental design issues for the future Internet
IEEE Journal on Selected Areas in Communications
Hi-index | 0.00 |
This paper addresses the rate control and resource allocation problem for heterogeneous wireless sensor networks, which consist of diverse node types or modalities such as sensors and actuators, and different tasks or applications. The performance of these applications, either elastic traffic nature (e.g., typical data collection) or inelastic traffic nature (e.g., real-time monitoring and controlling), is modeled as a utility function of the sensor source rate. The traditional rate control approach, which requires the utility function to be strictly concave, is no longer applicable because of the involvement of inelastic traffic. Therefore, we develop a utility framework of rate control for heterogeneous wireless sensor networks with single- and multiple-path routing, and propose utility fair rate control algorithms, that are able to allocate the resources (wireless channel capacity and sensor node energy) efficiently and guarantee the application performance in a utility proportional or max-min fair manner. Furthermore, the optimization and convergence of the algorithm is investigated rigorously as well.