Green Wireless Body Area Nanonetworks: Energy Management and the Game of Survival

Misra, Sudip; Islam, Nabiul; Mahapatro, Judhistir; Rodrigues, Joel J. P. C.

doi:10.1109/jbhi.2013.2293503

Cited by 15 publications

(9 citation statements)

References 30 publications

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“…Some late methods addressing communication at the nanolevel include Graphene-enabled EM communication, molecular diffusion, Foster Resonance Energy Transfer [18], etc. However, direct applicability at the nanoscale is hampered by device size, complexity, and energy consumption [19]. Additionally, the large bandwidth of the THz band (i.e., Terabits per second, Tbps) is susceptible to shadowing and noise [20].…”

Section: Introductionmentioning

confidence: 99%

An Energy Conserving Routing Scheme for Wireless Body Sensor Nanonetwork Communication

et al. 2018

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Current developments in nanotechnology make electromagnetic communication possible at the nanoscale for applications involving Body Sensor Networks (BSNs). This specialized branch of Wireless Sensor Networks, drawing attention from diverse fields such as engineering, medicine, biology, physics and computer science, has emerged as an important research area contributing to medical treatment, social welfare, and sports. The concept is based on the interaction of integrated nanoscale machines by means of wireless communications. One key hurdle for advancing nanocommunications is the lack of an apposite networking protocol to address the upcoming needs of the nanonetworks. Recently, some key challenges have been identified, such as nanonodes with extreme energy constraints, limited computational capabilities, Terahertz frequency bands with limited transmission range, etc., in designing protocols for wireless nanosensor networks. This work proposes an improved performance scheme of nanocommunication over Terahertz bands for wireless BSNs making it suitable for smart e-health applications. The scheme contains -a new energy-efficient forwarding routine for electromagnetic communication in wireless nanonetworks consisting of hybrid clusters with centralized scheduling; a model designed for channel behavior taking into account the aggregated impact of molecular absorption, spreading loss, and shadowing; and an energy model for energy harvesting and consumption. The outage probability is derived for both single and multilinks and extended to determine the outage capacity. The outage probability for a multilink is derived using a cooperative fusion technique at a predefined fusion node. Simulated using a Nano-Sim simulator, performance of the proposed model has been evaluated for energy efficiency, outage capacity, and outage probability. The results demonstrate the efficiency of the proposed scheme through maximized energy utilization in both single and multihop communication; multisensor fusion at the fusion node enhances the link quality of the transmission.

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Section: Introductionmentioning

confidence: 99%

An Energy Conserving Routing Scheme for Wireless Body Sensor Nanonetwork Communication

et al. 2018

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“…EHBANs are capable of supplying energy for sensors continuously, which prolongs network lifetime and reduces maintenance cost in communication. The energy that EHBANs can harvest usually comes from three basic types, 6 which are light energy, heat energy, and kinetic energy. Among these sources, the heat energy is gained from the difference in temperature between vitro and vivo; the kinetic energy is gained from various internal and external motions, such as walking, heartbeat, and blood flow.…”

Section: Introductionmentioning

confidence: 99%

Energy and channel transmission management algorithm for resource harvesting body area networks

Chen

Guo

Zhang

et al. 2018

International Journal of Distributed Sensor Networks

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In body area networks, sustainable energy supply and reliable data transmission are important to prolong the service cycle and guarantee the quality of service. In this article, we build a system model to capture the stochastic processes in body area networks, including energy harvesting process, spectrum pricing process, and data sampling process. In the system model, energy harvesting technology and cognitive radio technology are adopted to provide green energy and improve transmission environment for body area networks. Based on the proposed model, we formulate an optimization problem of system utility maximization. Since this problem is a multi-objective mixed-integer problem under multiple restrictions, we decompose the problem into several subproblems by Lyapunov optimization theory. Based on this, we design an efficient online energy and channel transmission management algorithm to solve these subproblems and achieve a close-to-optimal system utility without any priori knowledge. We analyze the optimality of proposed algorithm and derive the required battery capacity and the size of data buffer. Simulation results demonstrate the effectiveness of the proposed algorithm.

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“…To the best of our knowledge, the concept of BANNETs which specifies the general WBANs under the nano-scale began to emerge in the recent four years [6,19,20,21,22,23,24], thus the study on the design of energy-efficient operations for BANNETs is largely uninvestigated. In particular, the data collection scheme, a key component of the energy consumption in BANNETs, should be carefully addressed.…”

Section: Introductionmentioning

confidence: 99%

On the Design of an Energy Efficient Data Collection Scheme for Body Area Nano Networks

Liu¹,

Liu²,

Wu³

et al. 2017

IJWMN

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With the recent advancements in nanotechnologies, Body Area Nanonetworks (BANNETs) are expected to be a promising solution for many critical biomedical applications. Due to the extremely small size of nanomachines, serious energy limitation becomes a challenging roadblock stunting the development of BANNETs. As an initial step towards this end, this paper focuses on the design of an energy-efficient data collection scheme in BANNETs. First, a sleep/wake-up mechanism is introduced to avoid the unnecessary energy consumption when no external request comes. Then, with a careful consideration of both node available energy and transmission energy consumption, we design a new node selection strategy to further reduce the energy consumption in the data collection process. Finally, we conduct extensive simulations for both the proposed data collection scheme and the benchmark greedy scheme to illustrate the energy efficiency of our scheme as well as to discuss the impacts of network parameters on network performance..

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Green Wireless Body Area Nanonetworks: Energy Management and the Game of Survival

Cited by 15 publications

References 30 publications

An Energy Conserving Routing Scheme for Wireless Body Sensor Nanonetwork Communication

An Energy Conserving Routing Scheme for Wireless Body Sensor Nanonetwork Communication

Energy and channel transmission management algorithm for resource harvesting body area networks

On the Design of an Energy Efficient Data Collection Scheme for Body Area Nano Networks

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