scholarly journals Balancing Long Lifetime and Satisfying Fairness in WBAN Using a Constrained Markov Decision Process

2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
Yingqi Yin ◽  
Fengye Hu ◽  
Ling Cen ◽  
Yu Du ◽  
Lu Wang
Keyword(s):  
Markov Decision Process ◽  
Network Lifetime ◽  
Decision Process ◽  
Scheduling Algorithm ◽  
Wireless Body Area Network ◽  
Sensor Nodes ◽  
Distributed Scheduling ◽  
Area Network ◽  
Markov Decision ◽  
Constrained Markov Decision Process

As an important part of the Internet of Things (IOT) and the special case of device-to-device (D2D) communication, wireless body area network (WBAN) gradually becomes the focus of attention. Since WBAN is a body-centered network, the energy of sensor nodes is strictly restrained since they are supplied by battery with limited power. In each data collection, only one sensor node is scheduled to transmit its measurements directly to the access point (AP) through the fading channel. We formulate the problem of dynamically choosing which sensor should communicate with the AP to maximize network lifetime under the constraint of fairness as a constrained markov decision process (CMDP). The optimal lifetime and optimal policy are obtained by Bellman equation in dynamic programming. The proposed algorithm defines the limiting performance in WBAN lifetime under different degrees of fairness constraints. Due to the defect of large implementation overhead in acquiring global channel state information (CSI), we put forward a distributed scheduling algorithm that adopts local CSI, which saves the network overhead and simplifies the algorithm. It was demonstrated via simulation that this scheduling algorithm can allocate time slot reasonably under different channel conditions to balance the performances of network lifetime and fairness.

scholarly journals Designing Transmission Strategies for Enhancing Communications in Medical IoT Using Markov Decision Process

Sensors ◽  
2018 ◽  
Vol 18 (12) ◽  
pp. 4450 ◽  
Author(s):  
Moumita Roy ◽  
Chandreyee Chowdhury ◽  
Nauman Aslam
Keyword(s):  
Markov Decision Process ◽  
Human Body ◽  
Decision Process ◽  
Wireless Body Area Network ◽  
Green Energy ◽  
Packet Transmission ◽  
Link Quality ◽  
Area Network ◽  
Direct Communication ◽  
Markov Decision

The introduction of medical Internet of Things (IoT) for biomedical applications has brought about the era of proactive healthcare. Such advanced medical supervision lies on the foundation of a network of energy-constrained wearable or implantable sensors (or things). These miniaturized battery-powered biosensor nodes are placed in, on, or around the human body to measure vital signals to be reported to the sink. This network configuration deployed on a human body is known as the Wireless Body Area Network (WBAN). Strategies are required to restrict energy expenditure of the nodes without degrading performance of WBAN to make medical IoT a green (energy-efficient) and effective paradigm. Direct communication from a node to sink in WBAN may often lead to rapid energy depletion of nodes as well as growing thermal effects on the human body. Hence, multi-hop communication from sources to sink in WBAN is often preferred instead of direct communication with high transmission power. Existing research focuses on designing multi-hop protocols addressing the issues in WBAN routing. However, the ideal conditions for multi-hop routing in preference to single-hop direct delivery is rarely investigated. Accordingly, in this paper an optimal transmission policy for WBAN is developed using Markov Decision Process (MDP) subject to various input conditions such as battery level, event occurrence, packet transmission rate and link quality. Thereafter, a multi-hop routing protocol is designed where routing decisions are made following a pre-computed strategy. The algorithm is simulated, and performance is compared with existing multi-hop protocol for WBAN to demonstrate the viability of the proposed scheme.

scholarly journals Equalized Energy Consumption in Wireless Body Area Networks for a Prolonged Network Lifetime

2017 ◽  
Vol 2017 ◽  
pp. 1-9 ◽  
Author(s):  
Maryam El Azhari ◽  
Nadya El Moussaid ◽  
Ahmed Toumanari ◽  
Rachid Latif
Keyword(s):  
Energy Consumption ◽  
Network Lifetime ◽  
Wireless Body Area Network ◽  
Residual Energy ◽  
Base Station ◽  
Sensor Nodes ◽  
Physiological Data ◽  
Area Network ◽  
Body Area ◽  
Distributed Sensors

The phenomenal advances in electronics contributed to a widespread use of distributed sensors in wireless communications. A set of biosensors can be deployed or implanted in the human body to form a Wireless Body Area Network (WBAN), where various WBAN PHY layers are utilized. The WBAN allows the measurement of physiological data, which is forwarded by the gateway to the base station for analysis purposes. The main issue in conceiving a WBAN communication mechanism is to manage the residual energy of sensors. The mobile agent system has been widely applied for surveillance applications in Wireless Sensor Networks (WSNs). It consists in dispatching one or more mobile agents simultaneously to collect data, while following a predetermined optimum itinerary. The continuous use of the optimal itinerary leads to a rapid depletion of sensor nodes batteries, which minimizes the network lifetime. This paper presents a new algorithm to equalize the energy consumption among sensor motes. The algorithm exploits all the available paths towards the destination and classifies them with respect to the end-to-end delay and the overall energy consumption. The proposed algorithm performs better compared to the optimal routing path. It increases the network lifetime to the maximum by postponing routing of data via the most-recently used path, and it also maintains data delivery within the delay interval threshold.

scholarly journals AMHRP: Adaptive Multi-Hop Routing Protocol to Improve Network Lifetime for Multi-Hop Wireless Body Area Network

2019 ◽  
Author(s):  
Muhammad Mateen Yaqoob ◽  
Kulsoom Fatima ◽  
Shahab Shamshirband ◽  
Amir Mosavi ◽  
Waqar Khurshid
Keyword(s):  
Network Lifetime ◽  
Random Network ◽  
Minimum Energy ◽  
Wireless Body Area Network ◽  
Well Being ◽  
Sensor Nodes ◽  
Time Interval ◽  
Main Concern ◽  
Area Network ◽  
Body Area

A Wireless Body Area Sensor Network (WBASN) is combination of numerous sense nodes, positioned onto/close or inside a person body. Wireless Body Area Sensor Networks (WBASN) is a developing automation trend that exploits wireless sensor nodes to put instantaneous wearable well-being of ill person to improve individual’s existence. The sensor nodes might be used outwardly to observe abundant health parameters (like heart activity, blood pressure and cholesterol) of an ill person at a vital site within hospital. Hence the goal of WBASN is much crucial, enhancing the lifetime of nodes is compulsory to sustain many issues such as utility and efficiency. It is essential to evaluate time that when the first node will die it we want to refresh or change the battery reason is that loss of crucial information is not tolerable. The lifetime is termed as the time interval when a first node dies out due to battery exhaustion.  In our proposed protocol life time of a network is the main concern as well other protocol related issues such as throughput, path loss, and residual energy. Bio-sensors are used for deployment on human body. Poisson distribution and equilibrium model techniques have been used for attaining the required results. Multi-hop network topology and random network node deployment used to achieve minimum energy consumption and longer network lifetime.

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