当前位置: X-MOL 学术Int. J. Commun. Syst. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Low-cost localization technique for heterogeneous wireless sensor networks
International Journal of Communication Systems ( IF 1.7 ) Pub Date : 2021-04-21 , DOI: 10.1002/dac.4733
B. Nithya 1 , J. Jeyachidra 1
Affiliation  

In heterogeneous wireless sensor networks (HWSN), the probability-based node discovery method may result in inaccuracy and time consumption. Also, the adaptive adjustment of transmission range based on overhead and connectivity may result in additional overhead and time. Hence, in this paper, the author proposes to design a low-cost localization technique using Artificial Bee Colony (ABC) optimization algorithm for HWSN. In this technique, ABC optimization algorithm is applied for deploying the anchor nodes for coverage. Then, the connectivity between the nodes is ensured with minimum transmission power. Since this method involves minimum transmission power level (TPL) and the only minimum set of anchor nodes with strong coverage is involved, it has low-cost utilizing lower power consumption. By simulation result, it has been shown that the proposed method reduces power consumption leading to low cost.

中文翻译:

异构无线传感器网络低成本定位技术

在异构无线传感器网络(HWSN)中,基于概率的节点发现方法可能会导致不准确和耗时。此外,基于开销和连接性的传输范围的自适应调整可能会导致额外的开销和时间。因此,在本文中,作者建议使用人工蜂群 (ABC) 优化算法为 HWSN 设计一种低成本的定位技术。在该技术中,ABC 优化算法用于部署锚节点进行覆盖。然后,以最小的传输功率确保节点之间的连通性。由于该方法涉及最小传输功率电平(TPL),并且只涉及具有强覆盖的锚节点的最小集合,因此它具有利用较低功耗的低成本。由仿真结果,
更新日期:2021-06-03
down
wechat
bug