微型用户认知网络中具有位置感知的能量有效性分配算法

Energy-efficient assignment algorithm with location-aware for wireless microsensor networks

针对用户异构的多对多微型用户认知网络,研究如何有效分配次用户感知信道组,以实现能量消耗、感知性能及频谱接入机会的相对平衡.首先,考虑微型用户的特性,结合用户拓扑信息,在系统检测性能的约束条件下,以最大化能量效用为准则构建了优化问题.然后,对问题进行简化处理,基于KKT(Karush-Kuhn-Tucker)条件推导出闭合式以决定用户感知的优先级,进而设计了具有位置感知的能量有效性分配算法以逼近优化问题的最优解.最后,针对不同的用户分布场景进行仿真,结果表明提出的算法能够在快速分配最优感知用户组的同时,获得比其他算法更高的能量效用,且其能量效用性能很接近最优算法(穷举搜索)的性能,但复杂度却大为降低.

In the wireless microsensor networks with heterogeneous characteristics between users, the paper carries research on how to appropriately assign available secondary users （SUs） to sense some channels in order to achieve a good balance among energy consumption, sensing performance and spectrum opportunity. To begin with, considering the characteristics of microsensors, and using network topology information, the optimization problem with the objective of maximizing energy efficiency under performance constrains is formulated. Then, the closed-form solution is derived based on Karush-Kuhn-Tucker （KKT） condition, which can determine the priority of SUs, and the location-aware energy-efficient assignment （LEA） algorithm is proposed to approximate the optimal solution. Finally, by simulating different location distribution scenarios of users, the results show that the proposed algorithm can not only assign the optimal users group more quickly, but also obtain a higher energy efficiency than other algorithms. And the performance of the proposed algorithm is nearly the same as that of the optimal algorithm with exhaustive search, but with the greatly decreased complexity.