Fuzzy Control-Based Energy-Aware Routing Protocol for Wireless Body Area Networks

Wang, Xintong; Zheng, Guoqiang; Bai, Weiwei; Wu, Honghai; Ji, Baofeng

doi:10.1155/2021/8830153

Cited by 14 publications

(8 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…When a sensor node has sensed the data under event driven traffic scenario, it specifies the occurrence the event based on the threshold, and it varies from patient to patient [30,31]. Therefore, it is essential to mathematically model the probability of occurrence of each event taking place in the sensor node.…”

Section: Data Transmission and Schedulingmentioning

confidence: 99%

Adaptive Multi-Cost Routing Protocol to Enhance Lifetime for Wireless Body Area Network

Khurshid¹,

Liu²,

Arif³

et al. 2022

Computers, Materials &Amp; Continua

View full text Add to dashboard Cite

Wireless Body Area Network (WBAN) technologies are emerging with extensive applications in several domains. Health is a fascinating domain of WBAN for smart monitoring of a patient's condition. An important factor to consider in WBAN is a node's lifetime. Improving the lifetime of nodes is critical to address many issues, such as utility and reliability. Existing routing protocols have addressed the energy conservation problem but considered only a few parameters, thus affecting their performance. Moreover, most of the existing schemes did not consider traffic prioritization which is critical in WBANs. In this paper, an adaptive multi-cost routing protocol is proposed with a multi-objective cost function considering minimum distance from sink, temperature of sensor nodes, priority of sensed data, and maximum residual energy on sensor nodes. The performance of the proposed protocol is compared with the existing schemes for the parameters: network lifetime, stability period, throughput, energy consumption, and path loss. It is evident from the obtained results that the proposed protocol improves network lifetime and stability period by 30% and 15%, respectively, as well as outperforms the existing protocols in terms of throughput, energy consumption, and path loss.

show abstract

Section: Data Transmission and Schedulingmentioning

confidence: 99%

Adaptive Multi-Cost Routing Protocol to Enhance Lifetime for Wireless Body Area Network

Khurshid¹,

Liu²,

Arif³

et al. 2022

Computers, Materials &Amp; Continua

View full text Add to dashboard Cite

show abstract

“…The proposed protocol is also examined for its scalable characteristics by considering two network scenarios. The proposed work is compared against the competitive protocols namely, EARP, 9 I‐RAW, 10 DSCB, 11 OE2‐LB, 12 and MS‐GAOC 4 …”

Section: Simulation Analysis Of Neemamentioning

confidence: 99%

“…These collected data are forwarded to the healthcare department through the sink which collects data from RH nodes. We select one RH node in each cluster to perform data forwarding to the RH which is closest to the sink. The selection of RH is done through the same process likewise for CH. It is the first‐ever approach that addresses the multi‐hop based communication for WBANs to make the whole network scalable and can be implied to various large scale healthcare applications. NEEMA is compared against Energy‐Aware Routing Protocol (EARP) for WBAN, 9 Intelligent‐Routing Algorithm for WBAN (I‐RAW), 10 Dual sink approach using clustering in WBAN (DSCB), 11 Opportunistic Energy‐efficient routing with Load Balancing (OE2‐LB), 12 and Multiple sink‐based GA‐based Optimized Clustering (MS‐GAOC) 4 . In addition, the simulation analysis for the enhanced network dimensions is also performed to empirically demonstrate the scalability of the proposed work.…”

Section: Introductionmentioning

confidence: 99%

A Novel Energy Efficient hybrid Meta‐heuristic Approach (NEEMA) for wireless body area network

Sharma

Mishra²,

Tripathi

2022

Int J Communication

View full text Add to dashboard Cite

Summary The technological progression in the area of Wireless Body Area Network (WBAN) has made it possible to design various sensing modules operating for detecting the multitudinous physical attributes of a patient's body. However, the limited battery of these sensing devices has restricted the scope for WBAN. Hence, it is imperative to design an energy efficient algorithm to combat the gigantic energy consumption of these sensor nodes. Therefore, in this paper, we propose a Novel Energy Efficient hybrid Meta‐Heuristic Approach (NEEMA) for WBAN. We adopt this hybrid approach by using Tunicate Swarm Algorithm (TSA) and Genetic Algorithm (GA); we name it as T‐GA, to deliver the high convergence and large exploitation and exploration capabilities. We follow the clustering approach by selecting the Cluster Head (CH) with the help of the fitness function of T‐GA. We consider the novel parameters for selecting the CH that helps in the overall energy preservation of sensor nodes. Our proposed work focuses on multi‐hop communication among the patients on whose body, the body sensor nodes are installed, so that the data through the multi‐hop reach to the healthcare. The Relay Head (RH) node is used for forwarding the data to next RH and hence to sink. RH selection follows the same method of selection as that of CH. The experimental outcomes of NEEMA outperform the state‐of‐the‐art algorithms and prove to be highly beneficial for various WBAN applications.

show abstract

“…In [14], according to the characteristics of the actual reaction of the continuous stirred tank reactor, the T-S fuzzy model is used to study the problem of fault detection. In addition, the fuzzy controller is also used in the medical field, such as the fuzzy control-based energy aware routing protocol (EARP) applied in wireless body area networks (WBANs) [15] and combined with sliding mode control applied in gyroscope control systems [16,17]. In the study of DHTC, Qin et al used T1FLC to construct the T1FLC-DHTC structure, which realized automatic switching of system types [18], but the control parameters of T1FLC completely relied on artificial settings, and in the real unstructured dynamic environment and many specific applications, the traditional T1FLC will face many uncertainties, mainly including measurement noise, friction, and rule base differences, etc.…”

Section: Introductionmentioning

confidence: 99%

Dynamic High-Type Interval Type-2 Fuzzy Logic Control for Photoelectric Tracking System

Qin

Zhang²,

Zhao³

et al. 2022

Processes

View full text Add to dashboard Cite

This paper proposes a dynamic high-type control (DHTC) method based on an interval type-2 fuzzy logic controller (IT2FLC), which is used in the photoelectric tracking system to improve the steady-state accuracy and response speed. Adding integrators to the traditional multi-loop feedback control loop can increase the system type, thereby speeding up the response speed and improving the steady-state accuracy, but there is a risk of integral saturation. Switching the type dynamically according to the system state can avoid integral saturation while retaining the advantages of the high-type. Fuzzy logic control (FLC) can dynamically change the output value according to the input change and has the advantages of fast response speed and strong ability to handle uncertainties. Therefore, in this paper, the FLC is introduced into the high-type control system, and the output of the FLC is used as the gain of the integrator to control the on-off to achieve the goal of dynamic switching type, which is successfully verified in the experiment. IT2FLC introduces a three-dimensional membership function, which further improves the FLC’s ability to handle uncertainties. From the experimental results, compared with T1FLC, IT2FLC’s ability to handle uncertainties is significantly improved. In addition, in order to speed up the calculation speed of IT2FLC, this paper proposes an improved type-reduction algorithm, which is called weighted-trapezoidal Nie-Tan (WTNT). Compared with the traditional type-reduction algorithm, WTNT has faster calculation speed and better steady-state accuracy, and has been successfully applied to real-time control systems, which has good engineering application value. Finally, in order to reduce the interference of human factors and improve the automation level of the system, a multi-population genetic algorithm (MPGA) is used to iteratively optimize the parameters of the FLC, which improves the output accuracy. On the experimental platform of the flexible fast steering mirror (FFSM), the control effects of the traditional controller, T1FLC and IT2FLC are compared, which proves that the IT2FLC-DHTC system has a faster response performance, higher steady-state accuracy, and stronger ability to handle uncertainties.

show abstract

Fuzzy Control-Based Energy-Aware Routing Protocol for Wireless Body Area Networks

Cited by 14 publications

References 29 publications

Adaptive Multi-Cost Routing Protocol to Enhance Lifetime for Wireless Body Area Network

Adaptive Multi-Cost Routing Protocol to Enhance Lifetime for Wireless Body Area Network

A Novel Energy Efficient hybrid Meta‐heuristic Approach (NEEMA) for wireless body area network

Dynamic High-Type Interval Type-2 Fuzzy Logic Control for Photoelectric Tracking System

Contact Info

Product

Resources

About