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Path Selection Method for Reliable Data Transmission in Sensor Networks using GA

机译:遗传算法在传感器网络中可靠数据传输的路径选择方法

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摘要

The wireless sensor networks are subjected to threats and highly vulnerable to various attacks due to the sensor characteristics, such as the openness of wireless communication channels, lack of infrastructure, and physical discloser. Sensor networks are highly susceptible to denial of service (DoS) attacks due to their inherent characteristics. Sinkhole attack is well-known routing attack in which a malicious node prevents sensed data from forwarding toward the base station. In this paper, we propose a method that can avoid the sinkhole attack for safe data transmission in sensor networks that uses optimal path selection using genetic algorithm based routing. The proposed method selects the optimal paths to transmit the sensed data and guarantees reliable data transmission. In simulation, our proposed method is compared with GRAM. The simulation results show that the proposed method is efficient in both the energy consumption and success ratio of the delivery.
机译:由于传感器特性(例如,无线通信通道的开放性,缺乏基础设施和物理公开者),无线传感器网络受到威胁并且极易受到各种攻击。传感器网络的固有特性非常容易受到拒绝服务(DoS)攻击。污水坑攻击是众所周知的路由攻击,其中恶意节点阻止感知到的数据转发到基站。在本文中,我们提出了一种方法,该方法可以避免基于传感器网络中安全数据传输的井眼攻击,该方法使用基于遗传算法的路由选择最佳路径。所提出的方法选择最佳路径来传输感测数据并保证可靠的数据传输。在仿真中,我们提出的方法与GRAM进行了比较。仿真结果表明,该方法在能量消耗和交付成功率方面都是有效的。

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