【摘要】 基于人体的静态、动态模型,提出了一种有效的下一跳优化选择算法。优化寻找传输的下一个节点,通过每个节点的剩余能量、剩余队列、连接稳定性等指标,建立一个最大效益函数以满足需求。通过MATLAB进行仿真验证,全面得到了该算法在数据包转发量、网络生存周期方面的数据。最后,通过大量的仿真实验以及分析,找出了该算法的不足之处以及适用范围,并提出了一些改进方案及对未来的展望。更多还原

【Abstract】 Based on the static and dynamic model of human body,an efficient algorithm for next hop optimization is proposed.The next node of the transmission is optimized,and a maximum benefit function also established,thus to satisfy the demand by means of the residual energy,residual queue and connection stability of each node.Via the simulation with MATLAB,the data of packet forwarding and network lifetime are acquired.Finally,through large-quantity simulation experiments and analyses,the shortcomings of the algorithm and the scopes of application are found,and some improvements and future prospects also proposed.更多还原