Suppose that we have an energy harvesting IoT network that consists of two IoT nodes, v...
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Suppose that we have an energy harvesting IoT network that consists of two IoT nodes, v₁ and v2, and one sink s, where v2 can send information both to v₁ and s, whereas v₁ can only send information to s. The nodes harvest energy from ambient. They use the harvested energy to make measurements and to transmit data to the sink. For v₁ and v2, energy charging rate is X1 = 4 and X₂ 2 respectively. Assume that the static power use of each sensor node is eo = 1. The power that a node uses to transmit a unit size of data in link v2 to v₁ is e21 = 1, in link v2 to vs is e2s = 4, and in link v₁ to us els 1, respectively. Let r₁ be the sensing rate of IoT device v₁, and r2 the sensing rate of IoT device v2. = = 1. [2p] Formulate an optimization problem that maximizes the weighted sum of sensing rates of the sensors given by r₁ + 2r2 2. [2p] Solve the problem at the previous item. 7 -12 를 5 6 H2 2 NIN 3 4 2/1/2012 NIT 1 1 1 Figure 1: Initial network graph with link probabilities. The destination (sink) is node 1. Suppose that we have an energy harvesting IoT network that consists of two IoT nodes, v₁ and v2, and one sink s, where v2 can send information both to v₁ and s, whereas v₁ can only send information to s. The nodes harvest energy from ambient. They use the harvested energy to make measurements and to transmit data to the sink. For v₁ and v2, energy charging rate is X1 = 4 and X₂ 2 respectively. Assume that the static power use of each sensor node is eo = 1. The power that a node uses to transmit a unit size of data in link v2 to v₁ is e21 = 1, in link v2 to vs is e2s = 4, and in link v₁ to us els 1, respectively. Let r₁ be the sensing rate of IoT device v₁, and r2 the sensing rate of IoT device v2. = = 1. [2p] Formulate an optimization problem that maximizes the weighted sum of sensing rates of the sensors given by r₁ + 2r2 2. [2p] Solve the problem at the previous item. 7 -12 를 5 6 H2 2 NIN 3 4 2/1/2012 NIT 1 1 1 Figure 1: Initial network graph with link probabilities. The destination (sink) is node 1.
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Smith and Roberson Business Law
ISBN: 978-0538473637
15th Edition
Authors: Richard A. Mann, Barry S. Roberts
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