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为降低无线传感器网络的中断概率和延长网络生存时间,提出一种基于预选和联合参数优先级排序的自适应协作伙伴选择(POAPS)算法.当判定源节点需要协作时,POAPS算法采用节点的等效信道增益进行协作伙伴的预选,以提高选择效率;再以最小化中断概率为目标确定协作伙伴的个数;最后联合节点的等效信道增益和能量效率指数得到协作伙伴优先级排序.相比于没有考虑节点能量的最优多协作伙伴选择(BMPS)算法,POAPS算法能有效延长网络生存时间;相比于处理能力有限且没有顾及节点能量的最优单协作伙伴选择(BSPS)算法,POAPS算法能获得降低中断概率和延长网络生存时间的双收益.仿真结果验证了POAPS算法的有效性.
In order to reduce the outage probability and prolong the lifetime of network, this paper proposes an adaptive cooperative partner selection (POAPS) algorithm based on preselection and joint parameter prioritization. When determining that the source node needs to cooperate, the POAPS algorithm adopts nodes The effective channel gain is used to pre-select cooperative partners to improve the selection efficiency; then the number of cooperative partners is determined with the objective of minimizing the outage probability; finally, the equivalent channel gain and energy efficiency index of the joint nodes are sorted by the priorities of partners. POAPS algorithm can effectively prolong the network lifetime in the optimal multi-partner selection (BMPS) algorithm without considering node energy. Compared with the optimal single-partner selection (BSPS) algorithm, which has limited processing power and does not take into account node energy, POAPS The algorithm can obtain the dual benefits of reducing the probability of outages and prolonging the lifetime of the network.The simulation results verify the effectiveness of the POAPS algorithm.