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A Maximum Time Optimal Control Approach to Routing in Sensor Networks

机译:传感器网络中路由的最大时间最优控制方法

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An optimal control approach is used to solve the problem of routing in sensor networks where the goal is to maximize the network's lifetime. We show that in a fixed topology case there exists an optimal policy consisting of fixed routing probabilities which may be obtained by solving a set of relatively simple Non-Linear Programming (NLP) problems. An alternative problem is also considered where, in addition to routing, we also allocate a total initial energy over the network nodes with the same network lifetime maximization objective. We prove that the solution to this problem is given by a policy that depletes all node energies at the same time and that the corresponding energy allocation and routing probabilities are obtained by solving a single NLP problem. Numerical examples are included to contrast the maximum lifetime we obtain to that resulting from alternative routing policies.
机译:最佳控制方法用于解决传感器网络中的路由问题,该网络的目标是最大程度地延长网络的寿命。我们表明,在固定拓扑的情况下,存在一种由固定路由概率组成的最优策略,可以通过解决一组相对简单的非线性规划(NLP)问题来获得该最优策略。还考虑了另一个问题,除了路由,我们还以相同的网络寿命最大化目标在网络节点上分配总初始能量。我们证明该问题的解决方案是通过同时消耗所有节点能量的策略给出的,并且通过解决单个NLP问题获得了相应的能量分配和路由概率。包含了一些数字示例,以对比我们获得的最大寿命与其他路由策略所产生的最大寿命。

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