Name
Abstract | ||
|---|---|---|
This paper investigates how to perform optimal cooperative power control for the coexistence of heterogeneous multihop networks. Although power control on the node level inmultihop networks is a difficult problem due to its large design space and the coupling relationship of power control with scheduling and routing, we formulate amultiobjective optimization problem for the total power consumption of the two heterogeneous multihop networks with discretized power level. We reformulate the nonlinear constraint (relationship between power and capacity) into the linear one by piecewise linearization procedure and offer an in-depth study of cooperative power control in terms of its optimal power-the minimum power consumption with discretized power level for both heterogeneous multihop networks. Through a novel approach based on adaptive weighted-sum method, we transform the multiobjective optimization problem into a single-objective optimization problem and find the set of Pareto-optimal points iteratively. Using the Pareto-optimal points, we construct the minimum power curve. Using numerical results, we demonstrate that it can save more energy with cooperative power control than the case without cooperative power control. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1155/2016/9720256 | MOBILE INFORMATION SYSTEMS |
Field | DocType | Volume |
Cross layer,Discretization,Mathematical optimization,Coupling,Nonlinear system,Computer science,Scheduling (computing),Power control,Power law,Optimization problem | Journal | 2016 |
ISSN | Citations | PageRank |
1574-017X | 0 | 0.34 |
References | Authors | |
13 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Feng Tian | 1 | 0 | 0.34 |
| Dapeng Li | 2 | 0 | 5.75 |
| Xuejun Zhang | 3 | 0 | 0.34 |
| Zhen Yang | 4 | 87 | 9.62 |