Virtual Machines Applied to WSN's: The state-of-the-art and classification

Costa, Nuno; Pereira, António; Serôdio, Carlos

doi:10.1109/icsnc.2007.83

Cited by 22 publications

(12 citation statements)

References 20 publications

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“…Although several survey papers can be found in literature [7−9,12−18] , each of them addresses only a subset of the issues, e.g., the system architecture [7][8][9]16] , the programming paradigm [13,14,17] , and the run time supporting [12,18] . Although several survey papers can be found in literature [7−9,12−18] , each of them addresses only a subset of the issues, e.g., the system architecture [7][8][9]16] , the programming paradigm [13,14,17] , and the run time supporting [12,18] .…”

Section: Introductionmentioning

confidence: 99%

Middleware for Wireless Sensor Networks: A Survey

Wang

Cao

et al. 2008

J. Comput. Sci. Technol.

178

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Wireless Sensor Networks (WSNs) have found more and more applications in a variety of pervasive computing environments. However, how to support the development, maintenance, deployment and execution of applications over WSNs remains to be a nontrivial and challenging task, mainly because of the gap between the high level requirements from pervasive computing applications and the underlying operation of WSNs. Middleware for WSN can help bridge the gap and remove impediments. In recent years, research has been carried out on WSN middleware from different aspects and for different purposes. In this paper, we provide a comprehensive review of the existing work on WSN middleware, seeking for a better understanding of the current issues and future directions in this field. We propose a reference framework to analyze the functionalities of WSN middleware in terms of the system abstractions and the services provided. We review the approaches and techniques for implementing the services. On the basis of the analysis and by using a feature tree, we provide taxonomy of the features of WSN middleware and their relationships, and use the taxonomy to classify and evaluate existing work. We also discuss open problems in this important area of research.ularity of WSN-based applications.WSN middleware helps the programmer develop applications in several ways. First, it provides appropriate system abstractions, so that the application programmer can focus on the application logic without caring too much about the lower level implementation details. Second, it provides reusable code services, such as code update, and data services, such as data filtering, so that the application programmer can deploy and execute the application without being troubled with complex and tedious functions. Third, it helps the programmer in network infrastructure management and adaptation by providing efficient resource services, e.g., power management. It also supports system integration, monitoring, as well as system security.

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Section: Introductionmentioning

confidence: 99%

Middleware for Wireless Sensor Networks: A Survey

Wang

Cao

et al. 2008

J. Comput. Sci. Technol.

178

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“…We instrumented the SwissQM implementation on the Telos mote to determine execution speed and code size of SwissQM's user‐definable bytecode functions (SwissQM is quoted as having the most space‐efficient program representation for sensor networks ). SwissQM provides comparatively simple bytecode functions without function calls and arrays; we compiled a simple loop‐based code to bytecode and compared its execution time with the execution time of the equivalent machine code.…”

Section: Resultsmentioning

confidence: 99%

TinyVM: an energy‐efficient execution infrastructure for sensor networks

et al. 2011

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Energy-efficient implementation techniques for virtual machines (VMs) have received little attention yet: conventional wisdom claims that VMs have a diametrical effect on energy consumption and sensor network applications on VMs are therefore short-lived.In this paper we argue that bytecode interpretation is affordable for sensor networks if we synthesize VMs specifically for energy-efficiency. We present TinyVM, an execution infrastructure that seamlessly integrates with nesC/TinyOS and C-based environments. TinyVM achieves high code density through the use of compressed bytecode as the primary program representation. Compressed bytecode allows rapid application deployment with low communication overhead. TinyVM executes compressed byte-code in-place, which eliminates the need for a decompression stage and thereby reduces memory consumption on sensor nodes.Our infrastructure automates the creation of energyefficient application-specific VMs. Applications are partitioned in machine-code, byte-code and VM instruction set extensions. Partitioning is manually controlled and/or fully guided by a discrete optimization problem that produces a partitioning with lowest energy consumption for a given memory space constraint. We provide experimental results for sensor network benchmarks and selected applications on Atmega128-based motes and the Intel iMote2.

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“…The particular ruler supervision strategy in addition to notification program with the aid of sector-distinct dialect becomes helpful especially in circumstance and services information deployment. Given that two interactive get-togethers mightiness communicate by means of multiple routes, discovering the right joining way to offer confirmed conversation can be a important problem to cope with, particularly in SOC as this appreciably impacts the particular QoS [18]. What is more, due to the fact SOM with regard to VANET will be based upon providers of heterogeneous nature, the latency these services is just about the variables that directly affect the effectiveness.…”

Section: Discussionmentioning

confidence: 99%

“…Some research work is actually accomplished about surveying these different facets associated with middleware along with development paradigms with regard to VANET. As an example, [26] reviewed several middleware initiatives for VANET; diverse middleware issues as well as approaches intended for VANET were being interviewed throughout [27]; as well as [18] shown and also classified digital machines for VANET. Moreover, [46] surveyed the actual programming designs for sensing element communities, while the state of the art with encoding techniques pertaining to VANET had been surveyed throughout [38].…”

Section: Introductionmentioning

confidence: 99%

A New Study in Support-driven Middleware for VANET

Gour¹

2015

IJCA

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Vehicular Adhoc Network (VANET) can be used as quite a few apps for instance environmentally friendly keeping track of, commercial infrastructure safety, health care apps, along with targeted visitors handle. The look and continuing development of this kind of purposes should address quite a few problems set through VANET features on just one give as well as the specific programs on the other half. Certainly one of the emerging methods for soothing most of these challenges will be exploitation overhaul-focused middleware (SOM). Service-oriented computing, generally, is designed to create services usable and readily available by means of standardized types along with practices without having to worry regarding the underlying infrastructures, growth models, as well as enactment details. A little could perform an important role within aiding the planning, progress, along with implementation and services information-orientated techniques. This may help reach interoperability, reduce pairing, in addition to heterogeneity support. What is more, SOM solutions will certainly supplying no-practical needs such as scalability, reliability, flexibility, and Quality of Services (QoS) assurance. That report surveys the current work in SOM and also the developments and also difficulties to become addressed when coming up with and establishing these kinds of solutions for VANET.

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Virtual Machines Applied to WSN's: The state-of-the-art and classification

Cited by 22 publications

References 20 publications

Middleware for Wireless Sensor Networks: A Survey

Middleware for Wireless Sensor Networks: A Survey

TinyVM: an energy‐efficient execution infrastructure for sensor networks

A New Study in Support-driven Middleware for VANET

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