基于多变量启发式函数的深度优先搜索增强802.11传感器网络路由协议

Anand Madasamy
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引用次数: 0

摘要

无线传感器网络(WSNs)由于其在各种应用和区域的常识性使用而广泛传播;这促使遥感网络无处不在。由于这些传感器集线器中协调的电池中的受限力源,生命力利用率被认为是决定无线传感器网络寿命的最大考验。本文提出了基于DFS计算的转向约定。模拟结果表明,该约定在降低活力利用率和增加wSNs预期寿命方面是有效的,并且在传输延迟、吞吐量和包裹传输比例方面优于其他约定。未来,将与另一个人工智能公约进行更新。
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Depth First Search Approach with Multi-Variable Heuristic Function for Enhancing Routing Protocol in 802.11 Sensor Network
Wireless Sensor Networks (WSNs) are spread broadly due to their commonsense use in various applications and zones; this prompted pervasiveness remote sensor networks all over the place. Vitality utilization is considered as the greatest test to decide the wSNs lifetime, because of the restricted force source in the batteries that are coordinated into these sensor hubs. This paper proposes steering convention dependent on DFS calculation. Reenactment results show that the proposed convention is effective as far as decreasing vitality utilization and increment the wSNs life expectancy and accomplishes preferred execution over notable conventions as far as transmission postponement, throughput, and parcel conveyance proportion. In future, update with another artificial intelligence convention will be done.
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