scholarly journals Neurodegenerative Disease Monitoring Using a Portable Wireless Sensor Device

10.5772/29814 ◽  
2011 ◽  
Author(s):  
Paul Bustamante ◽  
Gonzalo Solas ◽  
Karol Grandez
Keyword(s):  
Neurodegenerative Disease ◽  
Wireless Sensor ◽  
Disease Monitoring ◽  
Sensor Device

scholarly journals Energy Efficient MAC Scheme for Wireless Sensor Networks with High-Dimensional Data Aggregate

2015 ◽  
Vol 2015 ◽  
pp. 1-13 ◽  
Author(s):  
Seokhoon Kim ◽  
Hangki Joh ◽  
Seungjun Choi ◽  
Intae Ryoo
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
High Dimensional Data ◽  
Wireless Sensor ◽  
High Dimensional ◽  
Sink Node ◽  
Group Management ◽  
Mac Scheme ◽  
Sensor Device ◽  
Sensor Devices

This paper presents a novel and sustainable medium access control (MAC) scheme for wireless sensor network (WSN) systems that process high-dimensional aggregated data. Based on a preamble signal and buffer threshold analysis, it maximizes the energy efficiency of the wireless sensor devices which have limited energy resources. The proposed group management MAC (GM-MAC) approach not only sets the buffer threshold value of a sensor device to be reciprocal to the preamble signal but also sets a transmittable group value to each sensor device by using the preamble signal of the sink node. The primary difference between the previous and the proposed approach is that existing state-of-the-art schemes use duty cycle and sleep mode to save energy consumption of individual sensor devices, whereas the proposed scheme employs the group management MAC scheme for sensor devices to maximize the overall energy efficiency of the whole WSN systems by minimizing the energy consumption of sensor devices located near the sink node. Performance evaluations show that the proposed scheme outperforms the previous schemes in terms of active time of sensor devices, transmission delay, control overhead, and energy consumption. Therefore, the proposed scheme is suitable for sensor devices in a variety of wireless sensor networking environments with high-dimensional data aggregate.

scholarly journals Energy efficient clustereing method for wireless sensor network

2019 ◽  
Vol 14 (2) ◽  
pp. 1039
Author(s):  
Chaitra HV ◽  
Dr. Ravikumar G.K
Keyword(s):  
Sensor Network ◽  
Sensor Node ◽  
Low Cost ◽  
Cluster Head ◽  
Imperialist Competitive Algorithm ◽  
Wireless Sensor ◽  
Cluster Head Selection ◽  
Research Issues ◽  
Multi Objective ◽  
Sensor Device

<p>Wireless sensor has attained wide interest across various industries due to availability of low cost sensor device. Preserving battery/energy of these sensor device is most desired. Recently, many approaches has been presented to improve lifetime of sensor network adopting clustering technique. Cluster head selection play an important factor in improving lifetime of cluster based network. For improving cluster head selection multi-objective function are presented in recent time by adopting evolutionary computing and metaheuristic algorithm. However, the existing model incurs computation overhead due to NP-Hard problem and connectivity issues is not considered. Thus affecting network performance. To address the research issues, this work present a novel Multi-objective imperialist competitive algorithm (MOICA) for cluster head selection and routing optimization. Experiment are conducted to evaluate the performance of MOICA over LEACH in term of lifetime performance considering first sensor node death and 75% sensor node death. The outcome shows MOICA achieves significance improvement over LEACH based protocols. </p>

scholarly journals Low latency and energy efficient cluster based routing design for wireless sensor network

2019 ◽  
Vol 13 (2) ◽  
pp. 615
Author(s):  
Basavaraj G.N ◽  
Jaidhar C.D
Keyword(s):  
Real Time ◽  
Energy Efficient ◽  
Cluster Head ◽  
Data Access ◽  
Wireless Sensor ◽  
Low Latency ◽  
Time Data ◽  
Sensor Device ◽  
Real Time Data ◽  
Real Time Application

<span>Wireless sensor network (WSN) has attained wide adoption across various sectors and is considered to be key component of future real-time application such as BigData, Internet of things (IoT) etc. The modern application requires low latency and scalable real-time data access considering heterogeneous network. However, provisioning low latency real-time data access incurs energy overhead among sensor device. Clustering technique aided in providing scalability and minimizing energy consumption among sensor device. However, it incurs energy overhead among cluster head and sensor device closer to sink. To address, many optimization technique is been presented in recent time for optimal cluster selection. However, these technique are designed considering homogenous network. To address, this work presented Low Latency and Energy Efficient Routing (LLEER) design for heterogeneous WSN. The LLEER adopts multi-objective function such as</span><span>connectivity, connection time, radio signal strength, coverage time, and network traffic for cluster head and hop node selection. Experiment are conducted to evaluate LLEER design shows significant performance improvement over state-of-art model in terms of network lifetime considering total node death, first node death, and loss of connectivity, communication overhead, and packet transmission latency. Proposed LLEER brings a good trade-off between energy efficiency, and latency requirement of future real-time application.<span>   </span></span>

scholarly journals Maximize resource utilization based channel access model with presence of reactive jammer for underwater wireless sensor network

2020 ◽  
Vol 10 (3) ◽  
pp. 3284
Author(s):  
Sheetal Bagali ◽  
R. Sundaraguru
Keyword(s):  
Sensor Networks ◽  
Resource Utilization ◽  
Load Capacity ◽  
Packet Transmission ◽  
Superior Performance ◽  
Wireless Sensor ◽  
Channel Access ◽  
Jamming Attacks ◽  
Cooperative Jamming ◽  
Sensor Device

Underwater sensor networks (UWSNs) are vulnerable to jamming attacks. Especially, reactive jamming which emerged as a greatest security threat to UWSNs. Reactive jammer are difficult to be removed, defended and identified. Since reactive jammer can control and regulate (i.e., the duration of the jam signal) the probability of jamming for maintaining high vulnerability with low detection probability. The existing model are generally designed considering terrestrial wireless sensor networks (TWSNs). Further, these models are limited in their ability to detect jamming correctly, distinguish between the corrupted and uncorrupted parts of a packet, and be adaptive with the dynamic environment. Cooperative jamming model has presented in recent times to utilize resource efficiently. However, very limited work is carried out using cooperative jamming detection. For overcoming research challenges, this work present Maximize Resource Utilization based Channel Access (MRUCA). The MRUCA uses cross layer design for mitigating reactive jammer (i.e., MRUCA jointly optimizes the cooperative hopping probabilities and channel accessibility probabilities of authenticated sensor device). Along with channel, load capacity of authenticated sensor device is estimated to utilize (maximize) resource efficiently. Experiment outcome shows the proposed MRUCA model attain superior performance than state-of-art model in terms of packet transmission, BER and Detection rate.

An Efficient Trust-Based Routing Model for Clustered-Based Hetrogeneous Wireless Sensor Network

2020 ◽  
Vol 16 (2) ◽  
pp. 84-101
Author(s):  
Gousia Thaniyath
Keyword(s):  
Energy Efficiency ◽  
Data Access ◽  
Packet Transmission ◽  
Wireless Sensor ◽  
Misclassification Rate ◽  
Communication Overhead ◽  
Time Data ◽  
Sensor Device ◽  
Sensor Devices ◽  
The Impact

Wireless sensor networks (WSN) play a very important role in providing real-time data access for big data and IoT application. The open deployment, energy constraint, and lack of centralized administration makes WSN very vulnerable to various kinds of malicious attacks. In WSN, identifying malicious sensor device and eliminating their sensed information play very important roles for mission critical applications. Standard cryptography and authentication schemes cannot be directly used in WSN because of the resource constraint nature of sensor devices. Thus, energy efficient and low latency methodology is required for minimizing the impact of malicious sensor devices. This paper presents a secure and load balanced routing (SLBR) scheme for heterogeneous clustered-based WSN. SLBR present better trust-based security metric that overcomes the problem when sensor keep oscillating for good to bad state and vice versa, and also balance load among CH. Thus, they aid in achieving better security, packet transmission, and energy efficiency performance. Experiments are conducted to evaluate the performance of proposed SLBR model over existing trust-based routing model, namely exponential cat swarm optimization (ECSO). The result attained shows SLBR models attain better performance than ECSO in terms of energy efficiency (i.e., network lifetime considering first sensor device death and total sensor device death), communication overhead, throughput, packet processing latency, malicious sensor device misclassification rate, and identification.

Sign in / Sign up

Export Citation Format

Share Document