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Adaptive multi-hop routing algorithm based on harmony search in WSNs

机译:WSN中基于和谐搜索的自适应多跳路由算法

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In Wireless sensor networks (WSNs), a lot of nodes with limited batteries are difficult to recharge power supplies. Therefore, an efficient management of energy for routing scheme is essential to prolonging the network lifetime, which is a NP-hard problem to overcome. In this paper, we propose an adaptive multi-hop routing algorithm (AMRA) to reduce the energy consumption and get energy balance in the whole network based on Harmony Search Algorithm. The studies on AMRA employ a novel encoding scheme to transform multi-hop routing path into unequal matrix. To control the convergence speed and precision, AMRA adopts dynamic parameters and new search method to strengthen the local and global harmony search ability. The fitness function taking energy consumption, path length and residual energy into consideration tries to find the global optimal solution. The simulation results demonstrate that the AMRA performs better than the existing algorithms in terms of network lifetime, energy consumption and energy balance.
机译:在无线传感器网络(WSN)中,许多节点电池电量有限,很难为电源充电。因此,对路由方案进行有效的能量管理对于延长网络寿命至关重要,这是需要解决的NP问题。本文提出了一种基于谐波搜索算法的自适应多跳路由算法(AMRA),以降低能耗并获得整个网络的能量平衡。对AMRA的研究采用了一种新颖的编码方案,将多跳路由路径转换为不相等的矩阵。为了控制收敛速度和精度,AMRA采用动态参数和新的搜索方法来增强局部和全局和声搜索能力。考虑能耗,路径长度和剩余能量的适应度函数试图找到全局最优解。仿真结果表明,AMRA在网络寿命,能耗和能量平衡方面均优于现有算法。

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