Caching in Named Data Networking for the wireless Internet of Things

Hail, Mohamed Ahmed; Amadeo, Marica; Molinaro, Antonella; Fischer, Stefan

doi:10.1109/riot.2015.7104902

Cited by 94 publications

(64 citation statements)

References 13 publications

(14 reference statements)

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“…Caching in NDN for the Wireless IoT scenario, Mohamed Ahmed Hai et al [4] presented a probabilistic distributed approach called pCASTING for caching in which freshness of data can be optimized even in energy and space constrained environment. Through various scenario based test and simulations in ndnSIM, authors could achieve improvement in energy efficiency and data retrieval time with respect to traditional NDN caching mechanism assuming constrained environment.…”

Section: Related Workmentioning

confidence: 99%

“…They developed pCASTING scheme is based on the probability distribution by considering parameters like node health level, cache possession status, and the lasting freshness data packets. To describe caching probability, authors in their work proposed Caching Utility Function (CUF) Fu [4] the caching probability of that Pd. The technique is capable to reduce delay and energy consumed by every node at same time [4].…”

Section: Related Workmentioning

confidence: 99%

“…To describe caching probability, authors in their work proposed Caching Utility Function (CUF) Fu [4] the caching probability of that Pd. The technique is capable to reduce delay and energy consumed by every node at same time [4].…”

Section: Related Workmentioning

confidence: 99%

“…IEEE 802. 4.15) and they make up network of Internet of Things. The optimal energy usage plays vital role in deciding the throughput of network, its efficiency and life time, if the devices are self-powered.…”

Section: Introductionmentioning

confidence: 99%

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Proposed Caching Scheme for Optimizing Trade-off between Freshness and Energy Consumption in Name Data Networking Based IoT

Shrimali¹,

Shah

Chauhan³

2017

AIT

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Over the last few years, the Internet of Things (IoT) has become an omnipresent term. The IoT expands the existing common concepts, anytime and anyplace to the connectivity for anything. The proliferation in IoT offers opportunities but may also bear risks. A hitherto neglected aspect is the possible increase in power consumption as smart devices in IoT applications are expected to be reachable by other devices at all times. This implies that the device is consuming electrical energy even when it is not in use for its primary function. Many researchers' communities have started addressing storage ability like cache memory of smart devices using the concept called-Named Data Networking (NDN) to achieve better energy efficient communication model. In NDN, memory or buffer overflow is the common challenge especially when internal memory of node exceeds its limit and data with highest degree of freshness may not be accommodated and entire scenarios behaves like a traditional network. In such case, Data Caching is not performed by intermediate nodes to guarantee highest degree of freshness. On the periodical updates sent from data producers, it is exceedingly demanded that data consumers must get up to date information at cost of lease energy. Consequently, there is challenge in maintaining tradeoff between freshness energy consumption during Publisher-Subscriber interaction. In our work, we proposed the architecture to overcome cache strategy issue by Smart Caching Algorithm for improvement in memory management and data freshness.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Proposed Caching Scheme for Optimizing Trade-off between Freshness and Energy Consumption in Name Data Networking Based IoT

Shrimali¹,

Shah

Chauhan³

2017

AIT

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“…Recently, to improve the accuracy of data retrieval, some works [33,34] encouraged a consumer-driven freshness approach: i.e., the freshness requirement is specified by the consumer and included also in the Interest. We follow the same approach in our proposal, since it particularly matches the requirements of IoV data that may be requested by different consumers with different freshness values (e.g., traffic information requested by vehicles for real-time route planning and by road authorities for long-term analytics).…”

Section: Naming and Freshness Settingsmentioning

confidence: 99%

Priority-Based Content Delivery in the Internet of Vehicles through Named Data Networking

Amadeo

Campolo

Molinaro

2016

JSAN

Self Cite

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Named Data Networking (NDN) has been recently proposed as a prominent solution for content delivery in the Internet of Vehicles (IoV), where cars equipped with a variety of wireless communication technologies exchange information aimed to support safety, traffic efficiency, monitoring and infotainment applications. The main NDN tenets, i.e., name-based communication and in-network caching, perfectly fit the demands of time-and spatially-relevant content requested by vehicles regardless of their provenance. However, existing vehicular NDN solutions have not been targeted to wisely ensure prioritized traffic treatment based on the specific needs of heterogeneous IoV content types. In this work, we propose a holistic NDN solution that, according to the demands of data traffic codified in NDN content names, dynamically shapes the NDN forwarding decisions to ensure the appropriate prioritization. Specifically, our proposal first selects the outgoing interface(s) (i.e., 802.11, LTE) for NDN packets and then properly tunes the timing of the actual transmissions. Simulation results show that the proposed enhancements succeed in achieving differentiated traffic treatment, while keeping traffic load under control.

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