A Novel Framework for Software Defined Wireless Body Area Network

Hasan, Khalid; Wu, Xin-Wen; Biswas, Kamanashis; Ahmed, Khandakar

doi:10.1109/isms.2018.00031

Cited by 21 publications

(20 citation statements)

References 17 publications

(23 reference statements)

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“…There are many attempts carried out by researchers in which most of them are achieved higher security or optimized power consumption. Dual Sink approach using Clustering in Body area network [7], A Novel Framework for Software Defined Wireless body area network [8], Fragmentation in MAC IEEE 801.15.4 to improve Delay Performance in wireless body area network [9] and An Efficient and Reliable Direct Diffusion Routing Protocol in wireless body area networks [10] are taken here for performance analysis. The methodologies used, merits and their limitations are analyzed in this section to identify the problem statement for a new work.…”

Section: Existing Methodsmentioning

confidence: 99%

Enhanced BGMM based Lightweight Key Generation and Authentication Method for WBAN

Dharshini

Monicasubashini

2021

Preprint

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Wireless Body Area Network (WBAN) is one of the best modern inventions that supports medical science significantly. Reliability, Latency, Security and Power consumption are the vital parameters to determine the quality of a WBAN architecture. Security Key Generation and Authentication are the important tasks which impact the vital parameters. A Body Gauss-Markov Mobility model (BGMM) based lightweight key generation and authentication method is introduced in this work to improve the quality of WBAN. Enhanced BGMM, Legacy Key Generator and Idle State Key Manager are the three functional blocks used to construct the proposed system. These new function blocks are introduced in this work to achieve higher throughput, packet delivery ratio and security. The proposed work is also indented to reduce the communication delays and power consumption. Adopting new body sensor nodes and discarding unused or damaged nodes from existing network without affecting other operating nodes is the requirements of modern WBAN as well. The proposed method named as “Enhanced BGMM based Lightweight Key Generation and Authentication method for WBAN” (EBLKGAW) is deigned to manage the network stability during adaptation of new nodes and elimination of existing nodes.

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Section: Existing Methodsmentioning

confidence: 99%

Enhanced BGMM based Lightweight Key Generation and Authentication Method for WBAN

Dharshini

Monicasubashini

2021

Preprint

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“…If I sens and T sens are the total current required and time taken for sensing the sensor node, the total energy consumption for the sensing process at each node per iteration is denoted by E sens,N . For n bit packet sensing, the energy consumption is computed as E sens,N (n) = n × V sup × I sens × T sens (8) where n denotes the number of bit packets, and V sup denotes the supply voltage. Likewise, the total sensing energy for the WBANC can be computed based on node sensing energy and weighting factor w i ∼ w 1 .…”

Section: Energy Modelmentioning

confidence: 99%

“…SDN is a highly promising tool that offers approaches for designing and handling the networks, especially the abstraction of the control and data planes. The use of centralized and programmable management of the SDN-based WBANs provides better scalability and heterogeneity for secured data transmission [8]. Therefore, the other problem of energy-efficient routing is prioritized in the latest studies.…”

Section: Introductionmentioning

confidence: 99%

Energy Optimized Congestion Control-Based Temperature Aware Routing Algorithm for Software Defined Wireless Body Area Networks

et al. 2020

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Wireless Body Area Network (WBAN) is a promising cost-effective technology for the privacy confined military applications and healthcare applications like remote health monitoring, telemedicine, and e-health services. The use of a Software-Defined Network (SDN) approach improves the control and management processes of the complex structured WBANs and also provides higher flexibility and dynamic network structure. To seamless routing performance in SDN-based WBAN, the energy-efficiency problems must be tackled effectively. The main contribution of this paper is to develop a novel Energy Optimized Congestion Control based on Temperature Aware Routing Algorithm (EOCC-TARA) using Enhanced Multi-objective Spider Monkey Optimization (EMSMO) for SDN-based WBAN. This algorithm overcomes the vital challenges, namely energy-efficiency, congestion-free communication, and reducing adverse thermal effects in WBAN routing. First, the proposed EOCC-TARA routing algorithm considers the effects of temperature due to the thermal dissipation of sensor nodes and formulates a strategy to adaptively select the forwarding nodes based on temperature and energy. Then the congestion avoidance concept is added with the energy-efficiency, link reliability, and path loss for modeling the cost function based on which the EMSMO provides the optimal routing. Simulations were performed, and the evaluation results showed that the proposed EOCC-TARA routing algorithm has superior performance than the traditional routing approaches in terms of energy consumption, network lifetime, throughput, temperature control, congestion overhead, delay, and successful transmission rate.

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“…The SDWBAN framework for patient monitoring applications simplifies the data packet forwarding functions from a source to a destination via SDN-enabled switches [ 10 ] as shown in Figure 1 . The SDWBAN framework consists of three planes that reflect the basic principle of the SDN architecture.…”

Section: Introductionmentioning

confidence: 99%

“…The SDESW then forwards/drops the data packet based on the retrieved instructions from the controller. The detailed functionalities of the SDWBAN framework can be found in [ 10 ]. The SDWBAN becomes more complex as the number of applications and patients increase in the deployed area.…”

Section: Introductionmentioning

confidence: 99%

Control Plane Optimisation for an SDN-Based WBAN Framework to Support Healthcare Applications

Hasan

Ahmed

Biswas

et al. 2020

Sensors

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Software-Defined Networking (SDN) offers an abstract view of the network and assists network operators to control the network traffic and the associated network resources more effectively. For the past few years, SDN has shown a lot of merits in diverse fields of applications, an important one being the Wireless Body Area Network (WBAN) for healthcare services. With the amalgamation of SDN with WBAN (SDWBAN), the patient monitoring and management system has gained much more flexibility and scalability compared to the conventional WBAN. However, the performance of the SDWBAN framework largely depends on the controller which is a core element of the control plane. The reason is that an optimal number of controllers assures the satisfactory level of performance and control of the network traffic originating from the underlying data plane devices. This paper proposes a mathematical model to determine the optimal number of controllers for the SDWBAN framework in healthcare applications. To achieve this goal, the proposed mathematical model adopts the convex optimization method and incorporates three critical SDWBAN factors in the design process: number of controllers, latency and number of SDN-enabled switches (SDESW). The proposed analytical model is validated by means of simulations in Castalia 3.2 and the outcomes indicate that the network achieves high level of Packet Delivery Ratio (PDR) and low latency for optimal number of controllers as derived in the mathematical model.

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A Novel Framework for Software Defined Wireless Body Area Network

Cited by 21 publications

References 17 publications

Enhanced BGMM based Lightweight Key Generation and Authentication Method for WBAN

Enhanced BGMM based Lightweight Key Generation and Authentication Method for WBAN

Energy Optimized Congestion Control-Based Temperature Aware Routing Algorithm for Software Defined Wireless Body Area Networks

Control Plane Optimisation for an SDN-Based WBAN Framework to Support Healthcare Applications

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