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

机译:基于WSN的和声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(WSNS)中,电池有限的很多节点难以充电电源。因此,对路由方案的能量有效管理对于延长网络寿命至关重要,这是克服的NP难题。在本文中,我们提出了一种自适应多跳路由算法(AMRA),以减少基于和声搜索算法的整个网络中的能量消耗。 AMRA的研究采用了一种新颖的编码方案来将多跳路径转换为不等矩阵。为了控制汇聚速度和精度,AMRA采用动态参数和新的搜索方法来加强本地和全球和谐搜索能力。考虑到能耗,路径长度和剩余能量的健身功能试图找到全局最优解决方案。模拟结果表明,在网络寿命,能量消耗和能量平衡方面,AMRA比现有算法更好。

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