Towards Reliable and Energy-Efficient Incremental Cooperative Communication for Wireless Body Area Networks

Yousaf, S.; Javaid, Nadeem; Qasim, Umar; Alrajeh, Nabil; Khan, Zahoor Ali; Ahmed, Mansoor

doi:10.3390/s16030284

Cited by 37 publications

(26 citation statements)

References 29 publications

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“…Network Lifetime: It is defined as the total time period from starting of the network operation to the death of last sensor node in the network. (Yousaf et al, 2016) Stability Period: It is defined as the time period from starting of the network operation to the death of first sensor node in the network. (Yousaf et al, 2016) Instability Period: It is defined as the time period between first node death to last node death in the network.…”

Section: Performance Evaluation Metricsmentioning

confidence: 99%

“…(Yousaf et al, 2016) Stability Period: It is defined as the time period from starting of the network operation to the death of first sensor node in the network. (Yousaf et al, 2016) Instability Period: It is defined as the time period between first node death to last node death in the network. (Batra & Kant, 2016) Network Lifetime = Stability period + Instability period.…”

Section: Performance Evaluation Metricsmentioning

confidence: 99%

“…(Batra & Kant, 2016) Network Lifetime = Stability period + Instability period. (Yousaf et al, 2016) HNA: Half of the nodes alive in the network…”

Section: Performance Evaluation Metricsmentioning

confidence: 99%

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Modification of Leach Protocol for Improving the Stability Period and Lifetime of Wireless Sensor Networks

Vermareddy¹,

Sanguankotvhakorn²

2019

Preprint

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ii I am very happy and thankful to the staff of AIT-TC department, Ms Premma Rao, Mr. Rajesh Dehury and Mr.Jarook, for providing me the necessary things and equipment on happening hours and non-happening hours, throughout my research period. I thank all my friends from the department of TC & ICT, as well as people of AIT, for providing the love and support for the completion of my research.Last, but not the least, I would like to thank my parents and brother, for their constant encouragement, love and support, every single day.Best regards, V.Sandeep Reddy.iii ABSTRACT As we are moving towards smart homes and smart cities, the need for wireless sensors are increasing continuously. Most of the sensors are powered with batteries, which have limited amount of power. So, in a wireless sensor network, the main motive is to minimize the energy consumption and increase the lifetime of the network. Communication between the sensors and from sensors to sink is an energy consuming process. Here comes, the LEACH protocol, with the concept of clustering, that makes the network energy efficient and gives longer lifetime to the network. This LEACH protocol has many drawbacks. One among them is the uneven distribution of CHs in the network, in several rounds. This leads to higher consumption of energy by sensor nodes, which in turn reduces the stability period and also the overall lifetime of the network. This problem is solved to majority extent in this research by concept of dividing the sensor field into sub-regions and choosing cluster head from each sub-region. This modification reduces the uneven distribution of CHs to maximum extent. Modified protocol is simulated in MATLAB and its results show that, the stability period as well as overall lifetime is improved than existing basic LEACH protocol.iv

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Section: Performance Evaluation Metricsmentioning

confidence: 99%

Section: Performance Evaluation Metricsmentioning

confidence: 99%

See 1 more Smart Citation

Modification of Leach Protocol for Improving the Stability Period and Lifetime of Wireless Sensor Networks

Vermareddy¹,

Sanguankotvhakorn²

2019

Preprint

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“…When the in vivo pacemaker or the sensor nodes deplete their energy, then it is either almost impossible (infeasible) to replace their batteries. In literature, many routing protocols have been proposed to prolong the battery lifetime of on-body sensors [12][13][14]. Similarly, many inductive links are designed to maximize the lifetime of pacemaker [15][16][17].…”

Section: Fig 1 Wsn Applicationsmentioning

confidence: 99%

Modeling induction and routing to monitor hospitalized patients in multi-hop mobility-aware body area sensor networks

Javaid

Ahmad

Tauqir

et al. 2016

J Wireless Com Network

Self Cite

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In wireless body area sensor networks (WBASNs), energy efficiency is an area of extreme significance. At first, we present a mathematical model for a non-invasive inductive link which is used to recharge the battery of an implanted biomedical device (pacemaker). Afterwards, we propose a distance-aware relaying energy-efficient (DARE) and mutual information-based DARE (MI-DARE) routing protocols for multihop mobility-aware body area sensor networks (MM-BASNs). Both the routing protocols and the non-invasive inductive link model are tested with the consideration of eight patients in a hospital unit under different topologies, where the vital signs of each patient are monitored through seven on-body sensors and an implanted pacemaker. To reduce energy consumption of the network, the sensors communicate with a sink via an on-body relay which is fixed on the chest of each patient. The behavior (static/mobile) and position of the sink are changed in each topology, and the impact of mobility due to postural changes of the patient(s) arms, legs, and head is also investigated. The MI-DARE protocol further prolongs the network lifetime by minimizing the number of transmissions. Simulation results show that the proposed techniques outperform contemporary schemes in terms of the selected performance metrics.

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“…Sidrah et al [38] propose an incremental routing protocol which automatically switches from one-hop to two-hop to transfer data from sensor to aggregator. In their solution, nodes first directly send data to aggregator.…”

Section: Solutions For Reliable Bsn Communicationmentioning

confidence: 99%

Multi-Body, Multi-Function Body Sensor Networks

Li¹

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With the cost of health care increasing, Body Sensor Networks (BSNs) have been proposed to provide low-cost health care solutions for the senior population. Reliability is essential for BSNs because they are mainly used for medical purposes such as detecting health-detrimental accidents and monitoring health status. The reliability of BSNs is twofold: reliable communication and reliable applications.The former focuses on data collection, while the latter focuses on data processing. Though existing work studies some of the reliability issues, the state of art lacks systematic approaches to implement reliable BSNs, especially when multiple BSNs coexist.Therefore, in this dissertation we systematically study how to develop reliable multi-body, multifunction BSNs. First, we perform an empirical study to investigate the challenges for developing reliable BSNs. Then, we propose a QoS framework that guarantees reliable communication and fidelity of BSN applications. Reliable communication is achieved by dynamically grouping nearby BSNs into one group and using different frequency channels and time sharing to schedule transmission within each group. Fidelity of BSNs is guaranteed by profiling BSN platforms and applications, and finding the optimal configuration to accommodate multiple BSN systems. We also develop two representative BSN applications, fall detection (accident detection) and social activity detection (health monitoring), to study how to develop reliable BSN applications. At last, we build a BSN platform to unify our proposed QoS framework with both fall detection and in-person interaction monitoring applications.The evaluation demonstrates the effectiveness of our proposed methods for developing reliable multi-body, multi-function BSNs. BSN systems implemented using our framework achieves over 97%

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Towards Reliable and Energy-Efficient Incremental Cooperative Communication for Wireless Body Area Networks

Cited by 37 publications

References 29 publications

Modification of Leach Protocol for Improving the Stability Period and Lifetime of Wireless Sensor Networks

Modification of Leach Protocol for Improving the Stability Period and Lifetime of Wireless Sensor Networks

Modeling induction and routing to monitor hospitalized patients in multi-hop mobility-aware body area sensor networks

Multi-Body, Multi-Function Body Sensor Networks

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