Stochastic Geometry Analysis of Throughput for Wireless Body Area Networks

Abstract

Wireless Body Area Network (WBAN) coexistence is a very challenging problem, resulting in very strong interference among them, which seriously affects the reliability of communication. The interference is the main performance-limiting factor in wireless networks coexistence, and therefore it is crucial to mitigated. The goal of this paper is to decrease inter-WBANs interference and to increase the transmission success probability or throughput. One of the main determinants of the interference is the network geometry distribution. In this paper, the impact of channel sensing range to IEEE 802.15.4-based coexisting WBANs is analyzed and is optimized according to the nearest node's distance. In addition, we model the system adopting the stochastic geometry Poisson point process and analyze the impact of guard zone size to networks performance. Furthermore, the throughput efficiently achieves higher through optimizing the size of guard zone. Theoretical analysis and simulation results show that the reasonable setting of the protection area can improve effectively the system throughput, and the guard zone radius has an optimal value, which can make the throughput of the network to reach the maximum value. The energy and spectral efficiency, moreover, have been improved.

Performance issues in wireless body area networks for the healthcare application: a survey and future prospects

“…Besides, as the data volume increases in parallel with WBAN commercialization, processing of the medical information at the node level reduces the excessive requirement of the network resources in the transmission channel [26]. In this essence, simplification of data size at the node level may include the implementation of various data compression and coding technique, sampling, feature extraction, segmentation, and classification.…”

“…In this essence, simplification of data size at the node level may include the implementation of various data compression and coding technique, sampling, feature extraction, segmentation, and classification. Performing node level signal processing lowers traffic in the transmission channel, reduce latency, data collisions, and link drop rate due to reduced network resource competition [26,27]. However, node level signal processing faces several challenges including its complexity on timing and synchronization between operations, need for specific application language developers, computing power constraint and limited memory size with adverse effects on data processing overheads [28].…”

“…However, apart from energy efficiency, effective monitoring of the remote health critical situation depends on network timeliness, routing and link reliability. Reliability of the wireless network infrastructure counts on the composition of the features, including; reduced discordant in data, minimum link and packet drop rates, lower end to end packet delay, network lifetime longevity, interference-free communication, and channel utilization which ensures network survival and efficient delivery of the WBAN assignments [26]. Usually, networks which can communicate information through a range of devices without hindrance or errors are regarded to be of higher transmission reliability.…”

“…Commercialization of the wireless body area networks increases the number of users contributing to massive data traffic in the transmission channel and the increased network resource competition [47]. Excessive network resource competition may end up in packet collision, inter-BAN interference, end to end delays and data loss [26,27]. Since the network resource is limited, the current use of the available spectrum may not suit future demand to provide a better quality of service [6,35].…”

Communication Energy Analysis in Soft Robotic and Artificial Skin Covered Structures Using Modified X-Node WBAN Network

“…For Soft tissue robots, Wireless Body Area Network (WBAN) can be used to model communication between monitoring sensors and actuators (nodes). The communication network is used to provide critical and many ancillary information [21][22].…”