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This paper proposes a new network coordinator node design to select the most suitable wireless technology for WBANs by using fuzzy logic. Its goal is to select a wireless communication technology available considering the user/application requirements and network conditions. A WBAN is composed of a set of sensors placed in, on, or around human body...
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Context 1
... networks have a specific unit price (cost values are expressed proportionally) information. The monetary cost membership functions are shown in Fig. 4. The RSSI input of the fuzzy system has also the ability to change its structure according to the network requirements. The RSSI membership functions for GSM and Wi-Fi networks are illustrated in Fig. 5. a) and Fig. 5. b), respectively. Wi-Fi access point supports only mobile devices with pedestrian speed, but GSM base stations support not only pedestrian users but also fast mobile users. The mobile speed input of the fuzzy system has been obtained from trajectory attribute of the mobile terminals used in the OPNET simulation. The ...
Context 2
... a specific unit price (cost values are expressed proportionally) information. The monetary cost membership functions are shown in Fig. 4. The RSSI input of the fuzzy system has also the ability to change its structure according to the network requirements. The RSSI membership functions for GSM and Wi-Fi networks are illustrated in Fig. 5. a) and Fig. 5. b), respectively. Wi-Fi access point supports only mobile devices with pedestrian speed, but GSM base stations support not only pedestrian users but also fast mobile users. The mobile speed input of the fuzzy system has been obtained from trajectory attribute of the mobile terminals used in the OPNET simulation. The membership functions ...
Citations
... A WBAN is composed of several body sensors that are capable of sensing and processing the body signals and of communicating with the coordinator node for the transmission of these signals for remote human health monitoring. The main function of wireless sensor nodes is to monitor human vital signs (such as SPO 2 , skin temperature, etc.), physiological activities, actions, and the surrounding environment in WBANs [3][4][5][6][7]. In WBANs, body nodes are either worn on a human body or are small enough to be implanted in body. ...
The rapid growth of wireless sensor networks has enabled the human health monitoring of patients using body sensor nodes that gather and evaluate human body parameters and movements. This study describes both simulation model and implementation of a new traffic sensitive wireless body area network by using non-preemptive priority queue discipline. A wireless body area network implementation employing TDMA is designed with three different priorities of data traffics. Besides, a coordinator node having the non-preemptive priority queue is performed in this study. We have also developed, modeled and simulated example network scenarios by using the Riverbed Modeler simulation software with the purpose of verifying the implementation results. The simulation results obtained under various network load conditions are consistent with the implementation results.
The evolution of wireless body area network (WBAN) has changed the human life for its applications in the field of health care, fitness, entertainment, sports, etc. However, two of the major challenges in the design of WBAN are energy efficiency and guaranteeing QoS. The introduction of multichannel scheme has reduced the delay and increase the throughput by allowing parallel transmission in the WBANs and biosensors. In this paper, we propose time-sharing multichannel MAC for wireless body area network with an intention for real time and guaranteed delivery of emergency data and maximize energy efficiency. The objective is to design an efficient time-sharing multichannel MAC protocol for WBANs for energy-efficient transmission with low interference. Each node has been statically allocated to the time slots and channels so that they can wake up at their time slots and transmit their data. The proposed method is simulated using Castalia to study and compare its performance with its counterparts. The simulation results reveal that the proposed protocol works better than the existing methods in terms of delay, throughput and energy efficiency.
This paper presents both analytical analysis and simulation model of a traffic sensitive wireless body area network structure by using nonpreemptive priority M/G/1 queue discipline. For improving data transmission delay of the body area network, data priorities are classified into three different priority traffic classes; namely normal, on-demand and emergency. Emergency traffic has the highest priority; on-demand has the second highest, and so on. In this research, an example traffic sensitive wireless body area network has been developed, modeled and simulated by using the OPNET Modeler simulation software with the purpose of verifying the analytical end-to-end delay and throughput results. The simulation results obtained under various network load conditions are consistent with the analytical results. The results of the proposed traffic sensitive WBAN are also compared with the insensitive one for analyzing priority data transmission delay with various data packet inter-arrival rates.
Software-defined radio and cognitive radio applied to wireless sensor networks and body area networks represent an intriguing and very recent paradigm, and is an objective of study of several researchers. In order to make this technology effective, it is necessary to consider an analytical model of communication capacity, energy consumption and congestion, to effectively exploit the software defined radio and cognitive radio in this type of system. This chapter discusses analytical modeling for making this kind of technology effective for wireless networks, by focusing on Cognitive Wireless Sensor Networks and Cognitive Wireless Body Area Networks. Moreover, we consider some routing approaches proposed for Cognitive Wireless Sensor Networks and Cognitive Wireless Body Area Networks, evaluated by means of simulation. Finally, we address additional issues that this type of network presents by comparing them with "traditional" routing protocols.
