Efficient Broadcasting in Self-Organizing Sensor Networks

Mitton, Nathalie; Busson, Anthony; Fleury, Éric

doi:10.1080/15501320500448547

Cited by 7 publications

(3 citation statements)

References 17 publications

(38 reference statements)

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“…GLACSWEB system was proposed and the requirements of out-door WSN given as sensing, communication and computing [7]. An efficient broadcasting and a clustering algorithm was proposed and Gateway selection and mirror node selection were also discussed [8].…”

Section: Related Workmentioning

confidence: 99%

Gallery: A Self-healing Topology Model for Pervasive Sensor Networks

Vanitha¹,

Radhamani²

2011

IJDPS

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Section: Related Workmentioning

confidence: 99%

Gallery: A Self-healing Topology Model for Pervasive Sensor Networks

Vanitha¹,

Radhamani²

2011

IJDPS

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“…Nodes who have the local highest density are elected clusterhead. The authors show that the obtained clusterbased structure can be used for example for efficient broadcasting [8]. This assumes 2-hop neighborhood knowledge, which implies sending several hello packets per node.…”

Section: Related Workmentioning

confidence: 99%

AnyBody: a self-organization protocol for body area networks

Watteyne¹,

Augé-Blum²,

Döhler³

et al. 2007

Proceedings of the Second International Conference on Body Area Networks BodyNets

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Self-organization for wireless multi-hop systems can be divided into two categories: proactive cluster-based solutions and reactive on-demand solutions. Whereas the former have been studied for ad-hoc networks, the latter seem more adapted to low-energy low-traffic wireless sensor networks. We show that, despite the relative high cost to build and maintain a topology, a cluster-based approach is particularly suited for Body Area Networks. We present AnyBody, a selforganization protocol in which sensors attached to a person are grouped into clusters.

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“…Meanwhile, the energy consumption of the reactive scheme can increase dramatically under heavy 2 International Journal of Distributed Sensor Networks traffic load. If the routing information become frequently inaccurate or stale during the packet transmission, the flooding scheme [8,9] as a data transfer method can be used.…”

Section: Introductionmentioning

confidence: 99%

Impact of Mobility on Routing Energy Consumption in Mobile Sensor Networks

Jung

Cho

Hong

2012

International Journal of Distributed Sensor Networks

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Mobility in mobile sensor networks causes frequent route breaks, and each routing scheme reacts differently during route breaks. It results in a performance degradation of the energy consumption to reestablish the route. Since routing schemes have various operational characteristics for rerouting, the impact of mobility on routing energy consumption shows significantly different results under varying network dynamics. Therefore, we should consider the mobility impact when analyzing the routing energy consumption in mobile sensor networks. However, most analysis of the routing energy consumption concentrates on the traffic condition and often neglects the mobility impact. We analyze the mobility impact on the routing energy consumption by deriving the expected energy consumption of reactive, proactive, and flooding scheme as a function of both the packet arrival rate and topology change rate. Routing energy consumption for mobile sensor networks is analytically shown to have a strong relationship with sensor mobility and traffic conditions. We then demonstrate the accuracy of our analysis through simulations. Our analysis can be used to decide a routing scheme that will operate most energy efficiently for a sensor application, taking into account the mobility as well as traffic condition.

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Efficient Broadcasting in Self-Organizing Sensor Networks

Abstract: Multi-hop wireless networks (such as ad-hoc or sensor networks) consist of sets of mobile nodes

Cited by 7 publications

References 17 publications

Gallery: A Self-healing Topology Model for Pervasive Sensor Networks

Gallery: A Self-healing Topology Model for Pervasive Sensor Networks

AnyBody: a self-organization protocol for body area networks

Impact of Mobility on Routing Energy Consumption in Mobile Sensor Networks

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