CAJ | 학술논문

针对无线认知传感器网络频谱感知过程中的能耗,提出两种节能策略:①使用可信度投票算法来减少传输检测结果的节点个数;②使用基于部分可观测马尔可夫决策过程的检测算法来减少检测次数.仿真结果表明这两种算法均能有效减少检测能耗,而且组合使用时相比一般算法能节省不低于30%的能量,同时保证检测可靠度满足系统要求.
침대무선인지전감기망락빈보감지과정중적능모,제출량충절능책략:①사용가신도투표산법래감소전수검측결과적절점개수;②사용기우부분가관측마이가부결책과정적검측산법래감소검측차수.방진결과표명저량충산법균능유효감소검측능모,이차조합사용시상비일반산법능절성불저우30%적능량,동시보증검측가고도만족계통요구.
Two energy-efficient strategies are proposed to reduce the energy consumed in the spectrum sensing procedure for wireless cognitive sensor networks. One involves using confidence voting algorithm to reduce the detection number, the other is based on Partially Observable Markov Decision Process (POMDP). Simulation results show that both algorithms can reduce the energy consumed in the detection efficiently, and the combination of the two algorithms can save more than 30% energy compared with the general algorithm with system detection reliability requirement guaranteed.