scholarly journals A priority-based congestion-avoidance routing protocol using IoT-based heterogeneous medical sensors for energy efficiency in healthcare wireless body area networks

2019 ◽  
Vol 15 (6) ◽  
pp. 155014771985398 ◽  
Author(s):  
Khalid M Awan ◽  
Nadeem Ashraf ◽  
Muhammad Qaiser Saleem ◽  
Osama E Sheta ◽  
Kashif Naseer Qureshi ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Routing Protocol ◽  
Body Area Networks ◽  
Congestion Avoidance ◽  
Sensor Nodes ◽  
Traffic Load ◽  
Data Traffic ◽  
Body Area ◽  
Critical Data

A wireless body area network is a collection of Internet of Things–based wearable heterogeneous computing devices primarily used in healthcare monitoring applications. A lot of research is in process to reduce the cost and increase efficiency in medical industry. Low power sensor nodes are often attached to high-risk patients for real-time remote monitoring. These sensors have limited resources such as storage capacity, battery life, computational power, and channel bandwidth. The current work proposes a multi-hop Priority-based Congestion-avoidance Routing Protocol using IoT based heterogeneous sensors for energy efficiency in wireless body area networks. The objective is to devise a routing protocol among sensor nodes such that it has minimum delay and higher throughput for emergency packets using IoT based sensor nodes, optimal energy consumption for longer network lifetime, and efficient scarce resource utilization. In our proposed work, data traffic is categorized into normal and emergency or life-critical data. For normal data traffic, next-hop selection will be selected based upon three parameters; residual energy, congestion on forwarder node, and signal-to-noise ratio of the path between source and forwarder node. We use the data aggregation and filtration technique to reduce the network traffic load and energy consumption. A priority-based routing scheme is also proposed for life-critical data to have less delay and greater throughput in emergency situations. Performance of the proposed protocol is evaluated with two cutting-edge routing techniques iM-SIMPLE and Optimized Cost Effective and Energy Efficient Routing. The proposed model outperforms in terms of network throughput, traffic load, energy consumption, and lifespan.

scholarly journals Data Forwarding in Wireless Body Area Networks

2020 ◽  
Vol 2 (2) ◽  
pp. 80-87
Author(s):  
Dr. Joy Iong Zong Chen ◽  
Lu-Tsou Yeh
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Research Work ◽  
Energy Resource ◽  
Body Area Networks ◽  
Wireless Body Area Networks ◽  
Physiological Data ◽  
Data Forwarding ◽  
Body Area ◽  
Healthcare Applications

One of the most crucial application of Wireless Body Area Networks in healthcare applications is the process of monitoring human bodies and gather physiological data. Network performance degradation in the form of energy efficiency and latency are caused because of energy depletions which arises due to limited energy resource availability. The heterogeneity of body sensors will lead to variation in the rate of energy consumption. Based on this, a novel Data Forwarding Strategy is presented in this research work to enhance collaborative WBAN operations, improve network lifetime and restrict energy consumption of the sensors. In this paper, we have contributed towards reducing the size of data to be transmitted by compressed sensing and selection of relay sensor based on sampling frequency, energy levels and sensor importance. Using the proposed methodology, it is possible to improve both reliability and energy-efficiency of WBAN data transmission. moreover, it is also possible to adapt to the changing WBAN topologies when the proposed methodology is used, balancing energy efficiency and consumption.

scholarly journals Increasing Lifetime through Sleep Awake and Conditional Transmission in Wireless Body Area Networks

2019 ◽  
Vol 13 (02) ◽  
pp. 141
Author(s):  
Karthik Jayaraman ◽  
A. Rajesh
Keyword(s):  
Energy Consumption ◽  
Life Time ◽  
Body Area Networks ◽  
Wireless Body Area Networks ◽  
The Body ◽  
Sensor Nodes ◽  
Body Area ◽  
Battery Capacity ◽  
More Care ◽  
Body Sensors

Human health is being monitored by wireless sensors from their home using wireless body area networks. Increase in the wireless body sensors made human to monitor health with great ease. Patient need not be stay in hospital for long time instead they may use body sensors and they may monitor their health from their residence itself. So that patients easily will be moving around their residence. Even though development of technology made ease of every task there are also constraints that need to be reduced. Since the body nodes are very tiny the battery used for the sensor is also small, in turn the battery capacity is also greatly reduced. So the life time of the sensor nodes are very low and in turn network lifetime also will be very less. In order to increase the life time of the node energy consumption should be monitored with more care. In our proposed system we implement sleep awake method along with conditional transmission to reduce the energy consumption that automatically increases the life time of the node as well as network. Our proposed method gives better result when compare with the performance of other methods in saving energy.

Minimizing Energy Consumption in Wireless Sensor Networks by Partition

2016 ◽  
Vol 850 ◽  
pp. 23-29
Author(s):  
Wen Zhi Zhu ◽  
Feng Xu
Keyword(s):  
Energy Efficiency ◽  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Routing Protocol ◽  
Cluster Head ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Clustering Methods ◽  
Improve Energy Efficiency

In wireless sensor networks, clustering class routing protocol is an important protocol type. Different clustering methods, and cluster head selection method directly affects the energy consumption of the entire network communication. This paper studies the effect of different partition methods of the network energy consumption, and to study the partitioning methods under the conditions of uneven distribution of nodes. We believe that energy efficiency clustering method should adapt the distributed of sensor nodes in order to improve energy efficiency. And according to the partition method we propose a low-power adaptive clustering routing protocol based on node distribution to partition. The protocol can effectively extend the lifetime of a wireless sensor network. Simulation results show that the proposed protocol can effectively prolong the network lifetime.

Performance Analysis of TBC-ACO Routing Protocol with Existing Routing Protocols of Wireless Sensor Networks

2017 ◽  
Vol 7 (8) ◽  
pp. 169
Author(s):  
A. Radhika ◽  
D. Haritha
Keyword(s):  
Energy Efficiency ◽  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Swarm Intelligence ◽  
Routing Protocol ◽  
Routing Protocols ◽  
Energy Efficient ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Congestion Aware

Wireless Sensor Networks, have witnessed significant amount of improvement in research across various areas like Routing, Security, Localization, Deployment and above all Energy Efficiency. Congestion is a problem of  importance in resource constrained Wireless Sensor Networks, especially for large networks, where the traffic loads exceed the available capacity of the resources . Sensor nodes are prone to failure and the misbehaviour of these faulty nodes creates further congestion. The resulting effect is a degradation in network performance, additional computation and increased energy consumption, which in turn decreases network lifetime. Hence, the data packet routing algorithm should consider congestion as one of the parameters, in addition to the role of the faulty nodes and not merely energy efficient protocols .Nowadays, the main central point of attraction is the concept of Swarm Intelligence based techniques integration in WSN.  Swarm Intelligence based Computational Swarm Intelligence Techniques have improvised WSN in terms of efficiency, Performance, robustness and scalability. The main objective of this research paper is to propose congestion aware , energy efficient, routing approach that utilizes Ant Colony Optimization, in which faulty nodes are isolated by means of the concept of trust further we compare the performance of various existing routing protocols like AODV, DSDV and DSR routing protocols, ACO Based Routing Protocol  with Trust Based Congestion aware ACO Based Routing in terms of End to End Delay, Packet Delivery Rate, Routing Overhead, Throughput and Energy Efficiency. Simulation based results and data analysis shows that overall TBC-ACO is 150% more efficient in terms of overall performance as compared to other existing routing protocols for Wireless Sensor Networks.

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