On Increasing Network Lifetime in Body Area Networks Using Global Routing with Energy Consumption Balancing

Tsouri, Gill R.; Prieto, Álvaro E.; Argade, Nikhil

doi:10.3390/s121013088

Cited by 46 publications

(28 citation statements)

References 14 publications

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“…Another approach presented by Tsouri et al in [19] relies on Dijkstra's algorithm augmented with novel link cost function designed to balance energy consumption across the network. This latter technique avoids relaying through nodes, which spent more accumulated energy than others.…”

Section: Related Workmentioning

confidence: 99%

Enhanced IoT-Based End-To-End Emergency and Disaster Relief System

Arbia

Alam

Kadri

et al. 2017

JSAN

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Abstract:In this paper, we present a new enhancement for an emergency and disaster relief system called Critical and Rescue Operations using Wearable Wireless sensors networks (CROW 2 ). We address the reliability challenges in setting up a wireless autonomous communication system in order to offload data from the disaster area (rescuers, trapped victims, civilians, media, etc.) back to a command center. The proposed system connects deployed rescuers to extended networks and the Internet. CROW 2 is an end-to-end system that runs the recently-proposed Optimized Routing Approach for Critical and Emergency Networks (ORACE-Net) routing protocol. The system integrates heterogeneous wireless devices (Raspberry Pi, smart phones, sensors) and various communicating technologies (WiFi IEEE 802.11n, Bluetooth IEEE 802.15.1) to enable end-to-end network connectivity, which is monitored by a cloud Internet-of-Things platform. First, we present the CROW 2 generic system architecture, which is adaptable to various technologies integration at different levels (i.e., on-body, body-to-body, off-body). Second, we implement the ORACE-Net protocol on heterogeneous devices including Android-based smart phones and Linux-based Raspberry Pi devices. These devices act as on-body coordinators to collect information from on-body sensors. The collected data is then pushed to the command center thanks to multi-hop device-to-device communication. Third, the overall CROW 2 system performance is evaluated according to relevant metrics including end-to-end link quality estimation, throughput and end-to-end delay. As a proof-of-concept, we validate the system architecture through deployment and extracted experimental results. Finally, we highlight motion detection and links' unavailability prevention based on the recorded data where the main factors (i.e., interference and noise) that affect the performance are analyzed.

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Section: Related Workmentioning

confidence: 99%

Enhanced IoT-Based End-To-End Emergency and Disaster Relief System

Arbia

Alam

Kadri

et al. 2017

JSAN

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“…The scope of this work is to present the network connectivity analysis of our proposed approach [6]. Another approach presented by Tsouri et al in [25] relies on Dijkstra's algorithm augmented with novel link cost function designed to balance energy consumption across the network. This latter technique avoids relaying through nodes which spend more accumulated energy than others.…”

Section: Overview Of Key Wwn Applications and Implementationsmentioning

confidence: 99%

Communication Challenges in on-Body and Body-to-Body Wearable Wireless Networks—A Connectivity Perspective

et al. 2017

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Wearable wireless networks (WWNs) offer innovative ways to connect humans and/or objects anywhere, anytime, within an infinite variety of applications. WWNs include three levels of communications: on-body, body-to-body and off-body communication. Successful communication in on-body and body-to-body networks is often challenging due to ultra-low power consumption, processing and storage capabilities, which have a significant impact on the achievable throughput and packet reception ratio as well as latency. Consequently, all these factors make it difficult to opt for an appropriate technology to optimize communication performance, which predominantly depends on the given application. In particular, this work emphasizes the impact of coarse-grain factors (such as dynamic and diverse mobility, radio-link and signal propagation, interference management, data dissemination schemes, and routing approaches) directly affecting the communication performance in WWNs. Experiments have been performed on a real testbed to investigate the connectivity behavior on two wireless communication levels: on-body and body-to-body. It is concluded that by considering the impact of above-mentioned factors, the general perception of using specific technologies may not be correct. Indeed, for on-body communication, by using the IEEE 802.15.6 standard (which is specifically designed for on-body communication), it is observed that while operating at low transmission power under realistic conditions, the connectivity can be significantly low, thus, the transmission power has to be tuned carefully. Similarly, for body-to-body communication in an indoor environment, WiFi IEEE 802.11n also has a high threshold of end-to-end disconnections beyond two hops (approximatively 25 m). Therefore, these facts promote the use of novel technologies such as 802.11ac, NarrowBand-IoT (NB-IoT) etc. as possible candidates for body-to-body communications as a part of the Internet of humans concept.

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“…Consider a subset of biosensor-sink couplesC ⊆ C. We define routing state a fixing of the unsplittable flow variables x bs ij ∀(i, j) ∈ E for each (b, s) ∈C such that the fixing is feasible for the flow conservation constraints (10)(11)(12).…”

Section: A Fast Heuristic For the Rob-band-ilpmentioning

confidence: 99%

A Fast ILP-Based Heuristic for the Robust Design of Body Wireless Sensor Networks

D’Andreagiovanni¹,

Nardin²,

Natalizio³

2017

Applications of Evolutionary Computation

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Abstract. We consider the problem of optimally designing a body wireless sensor network, while taking into account the uncertainty of data generation of biosensors. Since the related min-max robustness Integer Linear Programming (ILP) problem can be difficult to solve even for state-of-the-art commercial optimization solvers, we propose an original heuristic for its solution. The heuristic combines deterministic and probabilistic variable fixing strategies, guided by the information coming from strengthened linear relaxations of the ILP robust model, and includes a very large neighborhood search for reparation and improvement of generated solutions, formulated as an ILP problem solved exactly. Computational tests on realistic instances show that our heuristic finds solutions of much higher quality than a state-of-the-art solver and than an effective benchmark heuristic.

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On Increasing Network Lifetime in Body Area Networks Using Global Routing with Energy Consumption Balancing

Cited by 46 publications

References 14 publications

Enhanced IoT-Based End-To-End Emergency and Disaster Relief System

Enhanced IoT-Based End-To-End Emergency and Disaster Relief System

Communication Challenges in on-Body and Body-to-Body Wearable Wireless Networks—A Connectivity Perspective

A Fast ILP-Based Heuristic for the Robust Design of Body Wireless Sensor Networks

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