无线体域网安全路由算法设计与仿真

Design and Simulation of Secure Routing Algorithm for Wireless Body Area Networks

为提高无线体域网时延和安全性能,提出一种基于马尔科夫链的无线体域网低时延安全路由选择算法。该算法基于马尔科夫决策模型,将以安全中断概率为约束的路由选择问题转换为寻找动态系统最小时延成本的控制策略问题进行建模,采用拉格朗日乘子法将该优化问题转换为无约束优化问题,并根据贝尔曼优化理论中的价值迭代算法,将无约束问题进一步简化为求解贝尔曼方程,运用实时动态规划算法得到安全路由。仿真结果表明,该方法在满足安全约束条件下,能够实时选择最优中继节点,优化平均延时。

In order to improve the delay and security performance of wireless body area network,a low-latency secure routing algorithm for wireless body area network based on Markovian chain is proposed.Based on the Markovian decision model,the algorithm models the routing selection with the constraint of secure outage probability as a control strategy problem,which is to find a dynamic system with the minimum delay.Next,the Lagrange multiplier method is applied to convert the constrained optimization problem into an unconstrained optimization problem,which is further simplified as a Bellman equation problem according to the value iteration algorithm in Bellman optimization theory.Finally,the real-time dynamic programming algorithm is used to obtain the proposed secure routing.The simulation results show that the method can select the optimal relay node in real time and reach the minimum average latency under the security constraints.