Tracking Real-World Phenomena with Smart Dust

Römer, Kay Uwe

doi:10.1007/978-3-540-24606-0_3

Cited by 36 publications

(19 citation statements)

References 25 publications

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“…Most SG traffic require very high reliability, a certain amount of loss rates may be acceptable in this class but data must arrive in a timely manner (little percentage of Losses tolerable) [11]. Examples of applications in this class are Mobile Work Force tracking traffic, video surveillance and software updates.…”

Section: A Traffic Classification Based On Network Drivenmentioning

confidence: 99%

Performance analysis of variable Smart Grid traffic over ad hoc Wireless Mesh Networks

Tsado

Gamage

Lund

et al. 2016

2016 International Conference on Smart Systems and Technologies (SST)

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Abstract-Recent advances in ad hoc Wireless Mesh Networks (WMN) has posited it as a strong candidate in Smart Grid's Neighbourhood Area Network (NAN) for Advanced Metering Infrastructure (AMI). However, its abysmal capacity and poor multi-hoping performance in harsh dynamic environment will require an improvement to its protocol stacks in order for it to effectively support the variable requirements of application traffic in Smart Grid. This paper presents a classification of Smart Grid traffics and examines the performance of HWMP (which is the default routing protocol of the IEEE 802.11s standard) with the Optimised Link State Routing (OLSR) protocol in a NAN based ad hoc WMN. Results from simulations in ns-3 show that HWMP does not outperform OLSR. This indicates that cross layer modifications can be developed in OLSR protocol to address the routing challenges in a NAN based ad hoc WMN.

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Section: A Traffic Classification Based On Network Drivenmentioning

confidence: 99%

Performance analysis of variable Smart Grid traffic over ad hoc Wireless Mesh Networks

Tsado

Gamage

Lund

et al. 2016

2016 International Conference on Smart Systems and Technologies (SST)

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“…Considering the tracking application of energy-constrained moving nodes detailed in [17], let each node be allocated an energy budget to achieve synchronization, denoted as E sync . Fig.…”

Section: Application To Wsn Designmentioning

confidence: 99%

A Primer on Energy-Efficient Synchronization of WSN Nodes over Correlated Rayleigh Fading Channels

Briff

Lutenberg

Vega³

et al. 2014

IEEE Wireless Commun. Lett.

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Abstract-In this paper we propose a lower bound on the energy required for synchronizing nodes in a Wireless Sensor Network (WSN) by using statistical estimation techniques. The energy required to synchronize a pair of nodes within a network with predefined synchronization accuracy is modelled as function of the transceivers power and the number of transmitted messages. In our analysis, we have considered the dynamic nature of nodes communicating within a correlated Rayleigh fading channel. A unified mathematical model has been defined to analyze the impact of nodes' relative velocity on the pairwise energy and synchronization accuracy trade-off.

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“…The possibilities of adopting these new technologies are endless and will be likely to impact every aspect of our lives: to support our cooperative activities [59], to monitor and control our environments [16], to improve our interactions with the physical world [87], in environmental sciences [139], in child and (a) A microsensor integrating processing unit, memory, wireless interface, and power supply; photo taken from [128]; (b) Sensor mote circuit [127]; (c) Sensor device deployed in a natural environment [143]; (d) Mobile wheeled micro device; photo from [127]; (e) Micro wireless robot; image from [100]; (f) T1000 terminator from the Terminator 2 movie health care [138], in entertainment [113], and in the military [130], to mention just a few examples. Already today, for example, navigator-equipped cars can give us instructions on how to reach a specific address.…”

Section: The Medium Scalementioning

confidence: 99%

Field-Based Coordination for Pervasive Multiagent Systems

Mamei¹,

Zambonelli²

2006

Springer Series in Agent Technology

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PrefaceIn the last few years, the search for radically new approaches to software engineering has witnessed a great momentum. These efforts are well justified by the troubling state of present day computer science.Software engineering practices based on design-time architectural composition (the only assessed way of doing software engineering so far), lead to brittle and fragile systems, unable to gracefully cope with reconfiguration and faults. While such practices can be acceptable when dealing with software systems to be deployed in closed and static scenarios, they are definitely unsuitable for most emerging computing scenarios.More and more, software systems involve autonomous and distributed software components that have to execute and interact in open and dynamic environments. This is the case of information economies, pervasive and mobile computing systems, wide-area Internet applications, and P2P computing. In all these scenarios, the dynamism, openness, and decentralization of the application's operational environments call for new approaches to software design and development, capable of supporting spontaneous configuration and networking, and capable of tolerating partial failures and adaptive reorganization of the software system.Hints for the feasibility of such innovative approaches can come from a variety of natural systems. The process of morphogenesis in organisms demonstrates that well-defined shapes and functional structures can develop through the interaction of cells under the control of a genetic program, even though the precise arrangements and numbers of the individual cells are variable. The process of ant foraging demonstrates how the application goal of finding and carrying home food in hostile environments can be achieved by simple interactions among a multitude of individuals of limited intelligence.By getting inspiration from natural systems, scientists and engineers are starting to understand that, to construct self-organizing and adaptive systems, it may be more appropriate focusing on the engineering of proper interaction mechanisms for the components of the system, rather than on the engineering of their overall system architecture. A final special thanks is extended to all our students (now engineers) who have actively contributed to our researches with notable implementation and experimental work.

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Tracking Real-World Phenomena with Smart Dust

Cited by 36 publications

References 25 publications

Performance analysis of variable Smart Grid traffic over ad hoc Wireless Mesh Networks

Performance analysis of variable Smart Grid traffic over ad hoc Wireless Mesh Networks

A Primer on Energy-Efficient Synchronization of WSN Nodes over Correlated Rayleigh Fading Channels

Field-Based Coordination for Pervasive Multiagent Systems

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