Lifetime maximization schemes under end-to-end frame-error constraints in wireless multimedia sensor networks
Of significance in wireless multimedia sensor networks (WMSN) is the maintenance of media quality and the extension of route lifetime since media stream is more sensitive in quality requirement than data flow. In this paper, the problem of how to balance the needs on constraining end-to-end (e2e) quality and prolonging lifetime in an established route can be interpreted as a nonlinear optimization paradigm, which is then shown to be a max-min composite formulation when an e2e frame-error probability is given. To solve this max-min problem, we propose two novel methods: route-associated power management (RAPM) and link-associated power management (LAPM). For computation-restricted sensor nodes, the RAPM scheme with adding a simplification condition on power management can effectively reduce the power cost at computation and also rapidly determine optimum lifetime from numerous candidate routes. On the other hand, if computing power is not the major concern in a sink node, rather than using a heuristic method, we employ the LAPM algorithm to solve the lifetime maximization problem in a more accurate fashion. Solid theoretical analysis and simulation results are presented to validate our proposed schemes. Both analytical and simulation results demonstrate that the LAPM scheme is very comparable to the heuristic approach. Copyright (C) 2009 John Wiley & Sons, Ltd.
lifetime maximization frame-error constraints wireless multimedia sensor networks power management multimedia streaming