.png){kind=icon}
.png){kind=icon}
Return
Adaptive Cluster-head Algorithm for Bluetooth Ad Hoc Networks
.png){kind=icon}
PRE
AI
DOI：10.1109/WICOM.2007.368.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
Ad hoc networks have brought many varieties of applications for mobile digital devices, such as body area multimedia environment, smart home networks, and sensor networks, etc. However, because batteries carried by each mobile node have limited power, energy efficiency becomes one of the most important issues of ad hoc networks. In this paper, we propose a novel adaptive cluster-bead algorithm for ad hoe networks based on Bluetooth technology, which selects candidates for cluster-head by fuzzy logic algorithm and generates a flexible structure to share the power consumption and traffic load with the cluster-head dynamically. Simulation results show that the networking lifetime is increased substantially with respect to LMS and BlueMesh algorithms.
Keywords:
Ad hoc networks
Bluetooth
Fuzzy logic
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
I
IF:
0
Papers:
19
Citations:
0