Wireless sensor networks (WSNs) are energy-constrained in natured

moreover

sensor nodes play the dual role of data originator and data relaying.In this paper

a novel method how to allocate the power of sensor nodes for forwarding traffic of other nodes was proposed.After forwarding power ratios of nodes are decided

we consider pricing as a mean to stimulate cooperation between a node and other nodes along its routing path to a sink node.By formulating the problem of data sensing and transport in WSNs as network utility maximization (NUM) problem

an iterative price and joint power control and rate adaptation algorithm was presented by using dual decomposition techniques.Numerical results show that the proposed price mechanism can improve system performance while reducing power consumption.