基于协同绿色计算传感器网络的树型物联网能源预警BS选择

N. Kumar, G. Bala
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引用次数: 0

摘要

物联网(IoT)融合了感知环境和计算感知值,从而带来了世界之间的通信。这是未来信息共享的主要技术。由于大量的通信,在物联网中实现性能是具有挑战性的。这项工作的主要帮助是讨论物联网与未来网络世界的绿色计算趋势。建立了基于多跳树的邻居选择网络。当网络通过自组织连接时,需要找到子节点、跳数、节点间距离和剩余能量才能到达基站(BS)。任何对象都可以加入网络,从而构建基于树的通信。从而实现网络的动态调整和能耗的最小化,延长网络的使用寿命。此外,通过多个BS之间的合作,可以降低远距离传输功率(Tx Pwr),从而增加吞吐量和频谱处理。其中,睡眠和活动状态带来的能量和带宽利用率最低。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Energy alert BS selection in tree based IoT with cooperative green computing sensor network
The Internet of Things (IoT), which merges, sensing the environment and calculating sensing values thus brings communication among the world. This is the main future technology in information sharing. Achieving performance in IOT is challenging one due to heavy communication. The main assistance of this proposed work discussed IOT with Green computing trends in future network world. The network established based on multi hop tree based neighbour selection network. When network connected by self-organizing need to find children nodes, hop count, distance among nodes, and remaining energy to reach the base station (BS). Any object can join in the network thus constructs tree based communication. So that dynamically network adjusted and energy usage minimized to extend the network lifetime. Also by the cooperation among multiple BS long distance transmission power (Tx Pwr) can be reduced thus increases the throughput and spectrum handling. Among BS sleep and active state brings the energy and bandwidth minimum utilization.
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