An adaptive link layer for heterogeneous multi-radio mobile sensor networks

Gummeson, Jeremy; Ganesan, Deepak; Corner, Mark; Shenoy, Prashant

doi:10.1109/jsac.2010.100914

Cited by 22 publications

(25 citation statements)

References 25 publications

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“…For instance, in [7] the authors leverage on two low-power technologies to create a unified network. First, the nodes learn about the characteristics of radio channels through exploration; then, they dynamically and continuously select the most efficient radio channel among the available ones.…”

Section: Related Workmentioning

confidence: 99%

“…The switch between radios provides the abstraction of a unified link layer for applications running on multi-radio platforms. However, in [7] there is no concept of traffic quality of service. DNMP, instead, clearly decouples the two networks and, depending on the type of traffic to be transferred, the most appropriate communication interface is selected.…”

Section: Related Workmentioning

confidence: 99%

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A Data-driven IoT-oriented dual-Network Management Protocol

Ferrari

Medagliani

Cirani

et al. 2015

2015 IEEE International Conference on Communication Workshop (ICCW)

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The trade-off between high-performance data transmission and low-energy consumption is a long-existing issue in the field of wireless communications. Efficient data exchange is critical for battery-equipped mobile devices typically used in distributed surveillance scenarios, where it may be required to transmit video or audio streams between in-network nodes. In such cases, the devices carried by operators require to be as lightweight as possible. However, low-power and lossy networks do not provide sufficient bandwidth to meet the requirements of streaming transmissions, while high-performance communications result in high energy consumptions, shortening the lifetimes of the devices. In this paper, we propose a Data-driven IoToriented dual-Network Management Protocol (DNMP), oriented to Internet of Things (IoT), which leverages on the presence of two IP-addressable radio interfaces on the same node: one with low energy consumption (and throughput) and one with high throughput (and energy consumption). The low-power network acts both as an independent data plane and as a control plane for the highthroughput network, which is turned on whenever necessary to support multimedia streaming. In order to validate our protocol, we consider the integration of low-power IEEE 802.15.4 radio transceiver and high-throughput IEEE 802.11s radio transceivers. An extensive experimental investigation is then carried out, with the following goals: (i) investigating the performance of the two overlaid networks (IEEE 802.15.4 and IEEE 802.11s); and ii) determining the critical threshold, in terms of amount of data to be transmitted, beyond which the use of DNMP becomes advantageous.978-1-4673-6305-1/15/$31.00 ©2015 IEEE IEEE ICC 2015 -Workshop on Smart Communication Protocols and Algorithms (SCPA 2015)

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

A Data-driven IoT-oriented dual-Network Management Protocol

Ferrari

Medagliani

Cirani

et al. 2015

2015 IEEE International Conference on Communication Workshop (ICCW)

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“…Most studies in literature focus on energy conservation [18,12,7]. This is directly driven by the fact that highbandwidth radios (e.g., IEEE 802.11b/g) are more energy efficient in data transmission yet costly in idling energy consumption and start-up overhead [15], compared to lowbandwidth radios (e.g., IEEE 802.15.4).…”

Section: Related Workmentioning

confidence: 99%

Remote monitoring cost minimization for an unreliable sensor network with guaranteed network throughput

Liang

2014

Information Processing in Agriculture

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Wireless sensor networksService cost minimization Constrained optimizationAlgorithm design and analysis A B S T R A C T In this paper we consider a link-unreliable remote monitoring scenario where the monitoring center is geographically located far away from the region of the deployed sensor network, and sensing data by the sensors in the network will be transferred to the remote monitoring center through a third party telecommunication service. A cost associated with this service will be incurred, which will be determined by the number of gateways employed and the cumulative volume of data successfully received within a specified monitoring period. For this scenario, we first formulate a novel constrained optimization problem with an objective to minimize the service cost while a pre-defined network throughput is guaranteed. We refer to this problem as the throughput guaranteed service cost minimization problem and prove that it is NP-complete. We then propose a heuristic for it. The key ingredients of the heuristic include identifying gateways and finding an energy-efficient forest of routing trees rooted at the gateways. We also perform theoretical analysis on the solution obtained. Finally, we conduct experiments by simulations to evaluate the performance of the proposed algorithm. Experimental results demonstrate the proposed algorithm outperforms other algorithms in terms of both the service cost and the network lifetime.

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“…Previous work on multi-radio sensor networks is mainly with the objective of hierarchical power management [6], [10], [13]. This is driven by the fact that high-bandwidth radios (e.g.…”

Section: Related Workmentioning

confidence: 99%

Maximizing network lifetime via 3G gateway assignment in dual-radio sensor networks

Liang

Wark

et al. 2012

37th Annual IEEE Conference on Local Computer Networks

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In this paper we consider a sensor network deployed far away from the base station. Each sensor in the network is equipped with two radio interfaces: the low-power IEEE 802.15.4 radio and the high-bandwidth 3G radio. The low-power radios are used on all sensors to transmit data within the network, while the high-bandwidth radios are activated only on a subset of sensors, referred to as gateways, for sending data to the base station. We assume that not all sensors are required to transmit their sensed data to the base station, yet the base station does have a network throughput requirement. A high throughput requirement would cause more energy consumption on sensors and shorten the network lifetime. We investigate the problem of maximizing the network lifetime subject to the network throughput being guaranteed and the data delivery latency from the network to the base station being bounded. We first formulate a novel optimization problem, namely, the throughput guaranteed network lifetime maximization problem. We then devise a heuristic for it, with the key ingredients of gateway assignment technique and energy-efficient routing forest establishment strategy. We finally conduct extensive experiments through simulation to evaluate the performance of the proposed heuristic and show that it outperforms another two algorithms in terms of network lifetime.

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An adaptive link layer for heterogeneous multi-radio mobile sensor networks

Cited by 22 publications

References 25 publications

A Data-driven IoT-oriented dual-Network Management Protocol

A Data-driven IoT-oriented dual-Network Management Protocol

Remote monitoring cost minimization for an unreliable sensor network with guaranteed network throughput

Maximizing network lifetime via 3G gateway assignment in dual-radio sensor networks

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