Stateful Mobile Modules for Sensor Networks

Strübe, Moritz; Kapitza, Rüdiger; Stengel, Klaus; Daum, Michael; Dressler, Falko

doi:10.1007/978-3-642-13651-1_5

Cited by 6 publications

(4 citation statements)

References 14 publications

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“…in [19]). In simple terms, by moving a component whose data input rate is higher than its data output rate (or vice-versa) we can increase performance by decreasing the distance that the larger volume of data has to travel.…”

Section: Migrationmentioning

confidence: 98%

“…The majority of work focuses on the delivery mechanisms for updates including early work on TinyOS [7,18] and more recent work on modular solutions [8,17] and interpreted approaches [9,1]. The 'stateful mobile modules' in [19] further demonstrate the potential to migrate functionality to enhance performance. While some of this work is relevant to our aims in a low-level mechanical respect, here we examine higher-level reasoning in terms of when and why to modify software, both within a WSN and outside it.…”

Section: Related Workmentioning

confidence: 99%

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From missions to systems

Porter

Dearle

Dobson

2012

Proceedings of the 7th International Workshop on Middleware Tools, Services and Run-Time Support for Sensor Networks

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Early Wireless Sensor Networks aimed simply to collect as much data as possible for as long as possible. While this remains true in selected cases, the majority of future sensor network applications will demand much more intelligent use of their resources as networks increase in scale and support multiple applications and users. Specifically, we argue that a computational model is needed in which the ways that data flows through networks, and the ways in which decisions are made based on that data, is transparently distributable and relocatable as requirements evolve. In this paper we present an approach to achieving this using high-level mission specifications from which we can automatically derive transparently distributable programs.

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Section: Migrationmentioning

confidence: 98%

Section: Related Workmentioning

confidence: 99%

From missions to systems

Porter

Dearle

Dobson

2012

Proceedings of the 7th International Workshop on Middleware Tools, Services and Run-Time Support for Sensor Networks

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“…On the node, it is linked with operating system libraries and is executed, which results in a running process ready to serve incoming tuples. In our earlier work [9], we demonstrate a linker for size optimization.…”

Section: B Query Managementmentioning

confidence: 99%

An overlay network for integration of WSNs in federated stream-processing environments

Pollner

Daum

Dressler

et al. 2011

2011 the 10th IFIP Annual Mediterranean Ad Hoc Networking Workshop

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Abstract-This paper presents an approach for seamless integration of hosts in heterogeneous networks in the context of data-stream processing. The integration of multiple heterogeneous hosts from the sensor-node level up to the level of high-performance workstations is one of the most promising concepts for extensive and efficient analysis of streaming data. For controlling such a network, communication between hosts is needed, e. g., to initiate stream processing, to configure queries, and to transmit streams. One of the key challenges is global addressing and transparent yet efficient data exchange despite diverse, differently capable networks involved.For this purpose, we developed a cross-platform overlay network that enables transparent communication between autonomous stream-processing systems on different hosts in miscellaneous networks for both data streams and control commands. The system directly uses underlying native protocols within each network so that the most efficient communication method is applied. Furthermore, global addressing of instances of streamprocessing systems and routing over the individual communication paths is provided.

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“…The theoretic foundations of the system level support are outlined in [6]. We developed this framework explicitly to support dynamic operator replacements in the scope of DSMSs.…”

Section: Introductionmentioning

confidence: 99%

Dynamic operator replacement in sensor networks

Strübe

Daum

Kapitza

et al. 2010

The 7th IEEE International Conference on Mobile Ad-Hoc and Sensor Systems (IEEE MASS 2010)

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Abstract-We present an integrated approach for supporting in-network sensor data processing in dynamic and heterogeneous sensor networks. The concept relies on data stream processing techniques that define and optimize the distribution of queries and their operators. We anticipate a high degree of dynamics in the network, which can for example be expected in the case of wildlife monitoring applications. The distribution of operators to individual nodes demands system level capabilities not available in current sensor node operating systems. In particular, we present a system for seamless and on demand operator migration between sensor nodes. Our framework, which we implemented for Contiki running on TelosB nodes, supports stateful module migration including selected parts of the code and data sections.

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Stateful Mobile Modules for Sensor Networks

Cited by 6 publications

References 14 publications

From missions to systems

From missions to systems

An overlay network for integration of WSNs in federated stream-processing environments

Dynamic operator replacement in sensor networks

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