Optimal Rate Routing in Wireless Sensor Networks With Guaranteed Lifetime
Channel capacity and node energy represent resources and constraints in designing efficient routing schemes for Wireless Sensor Networks (WSNs). To delivery more data, a higher rate is desirable, which however consumes more energy and may demand more bandwidth. Hence, data transmission in WSNs should take into account both limited capacity and constrained energy. In this paper, the authors propose a utility-based nonlinear convex optimization formulation to maximize utility subject to the capacity and energy constraints. To achieve this, they introduce link interference set to represent all flows contention over a link, and it offers the capacity constraint over the specific link.