Title
Energy efficiency and area spectral efficiency tradeoff for coexisting wireless body sensor networks.
Abstract
The coexistence of wireless body sensor networks (WBSNs) is a very challenging problem, due to strong interference, which seriously affects energy consumption and spectral reuse. The energy efficiency and spectral efficiency are two key performance evaluation metrics for wireless communication networks. In this paper, the fundamental tradeoff between energy efficiency and area spectral efficiency of WBSNs is first investigated under the Poisson point process (PPP) model and Matern hard-core point process (HCPP) model using stochastic geometry. The circuit power consumption is taken into consideration in energy efficiency calculation. The tradeoff judgement coefficient is developed and is shown to serve as a promising complementary measure. In addition, this paper proposes a new nearest neighbour distance power control strategy to improve energy efficiency. We show that there exists an optimal transmit power highly dependant on the density of WBSNs and the nearest neighbour distance. Some important properties are also addressed in the analysis of coexisting WBSNs based on the IEEE 802.15.4 standard, such as the impact of intensity nodes distribution, optimal guard zone, and outage probability. Simulation results show that the proposed power control design can reduce the outage probability and enhance energy efficiency. Energy efficiency and area spectral efficiency of the HCPP model are better than those of the PPP model. In addition, the optimal density of WBSNs coexistence is obtained.
Year
DOI
Venue
2016
10.1007/s11432-016-0320-1
SCIENCE CHINA Information Sciences
Keywords
Field
DocType
WBSNs coexistence, stochastic geometry, energy efficiency, area spectral efficiency, power control, 无线体域网共存, 随机几何, 能量效率, 区域频谱效率, 功率控制
Stochastic geometry,Mathematical optimization,Transmitter power output,Efficient energy use,Power control,Spectral efficiency,Poisson point process,Wireless sensor network,Energy consumption,Mathematics
Journal
Volume
Issue
ISSN
59
12
1869-1919
Citations 
PageRank 
References 
0
0.34
2
Authors
5
Name
Order
Citations
PageRank
Ruixia Liu100.34
Ying-long Wang2123.21
Shangbin Wu314312.85
C. X. Wang43694246.36
Wensheng Zhang510714.25