A probabilistic replication and storage scheme for large wireless networks of small devices

Gavidia, Daniela; Steen, Maarten van

doi:10.1109/mahss.2008.4660060

Cited by 16 publications

(14 citation statements)

References 9 publications

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“…An epidemic data dissemination mechanism, gossiping [Gavidia and van Steen 2008] is used by the static nodes to propagate data items generated by static nodes themselves as well as data received from mobile cluster nodes. Static nodes use a store-and-forward scheme to deliver sensor data to the sink node.…”

Section: Protocol Stackmentioning

confidence: 99%

Efficient Cluster Mobility Support for TDMA-Based MAC Protocols in Wireless Sensor Networks

Nabi

Geilen

Basten

et al. 2014

ACM Trans. Sen. Netw.

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Node mobility is a key feature of using Wireless Sensor Networks (WSNs) in many sensory applications, such as healthcare. The Medium Access Control (MAC) protocol should properly support the mobility in the network. In particular, mobility is complicated for contention-free protocols like Time Division Multiple Access (TDMA). An efficient access to the shared medium is scheduled based on the node's local neighborhood. This neighborhood may vary over time due to node movement or other dynamics. In scenarios including bodyarea networking, for instance, some clusters of nodes move together, creating further challenges but also opportunities. This article presents a MAC protocol, MCMAC, that provides efficient support for cluster mobility in TDMA-based MAC protocols in WSNs. The proposed protocol exploits a hybrid contentionfree and contention-based communication approach to support cluster mobility. This relieves the protocol from rescheduling demand due to frequent node movements. Moreover, we propose a listening scheduling mechanism to avoid idle listening to mobile nodes that leads to a considerable energy saving for sensor nodes. The protocol is validated by performing several experiments in a real-world large-scale deployment including several mobile clusters. The protocol is also evaluated by extensive simulation of networks with various scales and configurations.

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Section: Protocol Stackmentioning

confidence: 99%

Efficient Cluster Mobility Support for TDMA-Based MAC Protocols in Wireless Sensor Networks

Nabi

Geilen

Basten

et al. 2014

ACM Trans. Sen. Netw.

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“…Because of a very short transmission range of wireless devices deployed on the body, nodes may not be able to reach the gateway in one hop. The protocol suggests a gossip-based [8] routing mechanism together with an appropriate TDMA-based Medium Access Control (MAC) to reliably deliver information to the gateway node through one or more hops. As the protocol does not rely on any specific routing structure like a tree, there is no need for reconstructing the routing structure upon network topology changes (due to the posture changes and node mobility).…”

Section: Intra-wban Protocol Stackmentioning

confidence: 99%

MoBAN: A Configurable Mobility Model for Wireless Body Area Networks

Nabi¹,

Geilen²,

Basten³

2011

Proceedings of the 4th International ICST Conference on Simulation Tools and Techniques

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A good mobility model is an essential prerequisite for performance evaluation of protocols for wireless networks with node mobility. Sensor nodes in a Wireless Body Area Network (WBAN) exhibit high mobility. The WBAN topology may completely change because of posture changes and movement even within a certain type of posture. The WBAN also moves as a whole in an ambient network. Therefore, an appropriate mobility model is of great importance for performance evaluation. This paper presents a comprehensive configurable mobility model MoBAN for evaluating intraand extra-WBAN communication. It implements different postures as well as individual node mobility within a particular posture. The model can be adapted to a broad range of applications for WBANs. The model is made available through http://www.es.ele.tue.nl/nes/, as an add-on to the mobility framework of the OMNeT++ simulator. Two case studies illustrate the use of the mobility model for performance evaluation of network protocols.

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“…A uniformly random selection strategy has been used in [8]. Doing so, a statistically equal chance is given to all data items waiting to be forwarded.…”

Section: A Priority-based Data Forwardingmentioning

confidence: 99%

Dynamic data prioritization for quality-of-service differentiation in heterogeneous Wireless Sensor Networks

Nabi

Blagojević

Geilen

et al. 2011

2011 8th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks

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Abstract-In many applications of Wireless Sensor Networks (WSNs), heterogeneity is a common property in terms of different sensor types and different circumstances like node location, link quality, and local node density. In many applications, there are several different sensor types with entirely different Quality-ofService (QoS) requirements. The requirements may also vary over time according to the application scenario and also due to network dynamics. Different requirements appeal different approaches while forwarding sensed data through a multi-hop communication network. This paper proposes a dynamic priority assignment strategy to be used for data routing in heterogeneous WSNs aiming to fairly propagate information according to its importance and requirements. To cope with heterogeneity and dynamics, nodes in the routing path dynamically compute priorities for individual data items according to the attached QoS requirements. We apply the proposed strategy for a healthcare monitoring application scenario which consists of an ambient network and several mobile clusters of nodes in the form of Wireless Body Area Networks (WBANs). The nodes have very different requirements and WBANs show a high mobility in the network with more stringent demands. The results show a large improvement in the achieved QoS for more demanding information. I. INTRODUCTION In many applications of Wireless sensor networks (WSNs),there is a large variety between different sensor nodes in the network in terms of Quality-of-Service (QoS) requirements. Moreover, different environment situations for different nodes cause more heterogeneity in the network. The relative sensor node position, different distances to the sink nodes, nonuniform network density, different interference levels, and varying quality of wireless links are some sources of environment heterogeneity in WSNs.Both QoS requirements and the surrounding situation for a sensor node are prone to vary over time. Mobility is one important source of environment variations and it sometimes can entirely change the network topology and density depending on the mobility level. The QoS requirements of a sensor node can also change over time according to the application scenario. Context-aware data propagation is an example of such changes in which the requirements may change considering the sampled data. Multi-scenario applications can be another example in which the behavior of the network changes over time based on the selected scenario. For instance, in an ambient intelligence application, different scenarios might be used during day and night time.

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A probabilistic replication and storage scheme for large wireless networks of small devices

Cited by 16 publications

References 9 publications

Efficient Cluster Mobility Support for TDMA-Based MAC Protocols in Wireless Sensor Networks

Efficient Cluster Mobility Support for TDMA-Based MAC Protocols in Wireless Sensor Networks

MoBAN: A Configurable Mobility Model for Wireless Body Area Networks

Dynamic data prioritization for quality-of-service differentiation in heterogeneous Wireless Sensor Networks

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