Utility-based bandwidth adaptation in mission-oriented wireless sensor networks

Eswaran, Sharanya; Misra, Archan; Bergamaschi, Flávio; Porta, Thomas La

doi:10.1145/2140522.2140530

Cited by 16 publications

(11 citation statements)

References 19 publications

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“…Next to these, there exist other solutions to realize or improve multicast communication in Wireless Sensor Networks, such as [18,24]. These solutions can alleviate some of the problems related to (reliable) multicasting, but their scope is different from the work presented here.…”

Section: Existing Solutionsmentioning

confidence: 99%

Flexible Unicast-Based Group Communication for CoAP-Enabled Devices

Ishaq

Hoebeke

Abeele

et al. 2014

Sensors

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Smart embedded objects will become an important part of what is called the Internet of Things. Applications often require concurrent interactions with several of these objects and their resources. Existing solutions have several limitations in terms of reliability, flexibility and manageability of such groups of objects. To overcome these limitations we propose an intermediately level of intelligence to easily manipulate a group of resources across multiple smart objects, building upon the Constrained Application Protocol (CoAP). We describe the design of our solution to create and manipulate a group of CoAP resources using a single client request. Furthermore we introduce the concept of profiles for the created groups. The use of profiles allows the client to specify in more detail how the group should behave. We have implemented our solution and demonstrate that it covers the complete group life-cycle, i.e., creation, validation, flexible usage and deletion. Finally, we quantitatively analyze the performance of our solution and compare it against multicast-based CoAP group communication. The results show that our solution improves reliability and flexibility with a trade-off in increased communication overhead.

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Section: Existing Solutionsmentioning

confidence: 99%

Flexible Unicast-Based Group Communication for CoAP-Enabled Devices

Ishaq

Hoebeke

Abeele

et al. 2014

Sensors

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“…Due to a small and constant step size, the convergence is slow. To achieve the optimal rates more quickly, the authors in [176] analyzed factors which have influences on the convergence speed. One of the critical factors is the step size which determines the magnitude of increase or decrease in rate at each iteration.…”

Section: ) Smart Data Pricingmentioning

confidence: 99%

Data Collection and Wireless Communication in Internet of Things (IoT) Using Economic Analysis and Pricing Models: A Survey

Luong

Hoang

Wang

et al. 2016

IEEE Commun. Surv. Tutorials

303

124

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Abstract-This paper provides a state-of-the-art literature review on economic analysis and pricing models for data collection and wireless communication in Internet of Things (IoT). Wireless Sensor Networks (WSNs) are the main component of IoT which collect data from the environment and transmit the data to the sink nodes. For long service time and low maintenance cost, WSNs require adaptive and robust designs to address many issues, e.g., data collection, topology formation, packet forwarding, resource and power optimization, coverage optimization, efficient task allocation, and security. For these issues, sensors have to make optimal decisions from current capabilities and available strategies to achieve desirable goals. This paper reviews numerous applications of the economic and pricing models, known as intelligent rational decision-making methods, to develop adaptive algorithms and protocols for WSNs. Besides, we survey a variety of pricing strategies in providing incentives for phone users in crowdsensing applications to contribute their sensing data. Furthermore, we consider the use of some pricing models in Machine-to-Machine (M2M) communication. Finally, we highlight some important open research issues as well as future research directions of applying economic and pricing models to IoT.

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“…This pioneering work was further advanced by studies in cellular wireless networks [35], ad hoc networks [36], and wireless sensor networks [37]. The fundamental assumption of the above research is that each application attains concave utility function and, thus, is only suitable for elastic traffic.…”

Section: Related Workmentioning

confidence: 99%

Fault Activity Aware Service Delivery in Wireless Sensor Networks for Smart Cities

Zhang

Dong

et al. 2017

Wireless Communications and Mobile Computing

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Wireless sensor networks (WSNs) are increasingly used in smart cities which involve multiple city services having quality of service (QoS) requirements. When misbehaving devices exist, the performance of current delivery protocols degrades significantly. Nonetheless, the majority of existing schemes either ignore the faulty behaviors' variability and time-variance in city environments or focus on homogeneous traffic for traditional data services (simple text messages) rather than city services (health care units, traffic monitors, and video surveillance). We consider the problem of fault-aware multiservice delivery, in which the network performs secure routing and rate control in terms of fault activity dynamic metric. To this end, we first design a distributed framework to estimate the fault activity information based on the effects of nondeterministic faulty behaviors and to incorporate these estimates into the service delivery. Then we present a fault activity geographic opportunistic routing (FAGOR) algorithm addressing a wide range of misbehaviors. We develop a leaky-hop model and design a fault activity rate-control algorithm for heterogeneous traffic to allocate resources, while guaranteeing utility fairness among multiple city services. Finally, we demonstrate the significant performance of our scheme in routing performance, effective utility, and utility fairness in the presence of misbehaving sensors through extensive simulations.

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Utility-based bandwidth adaptation in mission-oriented wireless sensor networks

Cited by 16 publications

References 19 publications

Flexible Unicast-Based Group Communication for CoAP-Enabled Devices

Flexible Unicast-Based Group Communication for CoAP-Enabled Devices

Data Collection and Wireless Communication in Internet of Things (IoT) Using Economic Analysis and Pricing Models: A Survey

Fault Activity Aware Service Delivery in Wireless Sensor Networks for Smart Cities

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