Grid-Based Access Scheduling for Mobile Data Intensive Sensor Networks

Lin, Chih-Kuang; Zadorozhny, Vladimir; Krishnamurthy, P.

doi:10.1109/mdm.2008.36

Cited by 6 publications

(4 citation statements)

References 17 publications

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“…In data demanding sensor web applications, distributed scheduling schemes are involved to diminish the enormous data loss. Virtual grids are incorporate to reduce the overhead and to handle the sensor mobility [19].…”

Section: Recent Workmentioning

confidence: 99%

Enabling Resource Awareness in Integrated Sensor Grid Framework Using Cross Layer Scheduling Mechanism

Subhashini¹,

Alli²

2016

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Researches related to wireless sensor networks primarily concentrate on Routing, Location Services, Data Aggregation and Energy Calculation Methods. Due to the heterogeneity of sensor networks using the web architecture, cross layer mechanism can be implemented for integrating multiple resources. Framework for Sensor Web using the cross layer scheduling mechanisms in the grid environment is proposed in this paper. The resource discovery and the energy efficient data aggregation schemes are used to improvise the effective utilization capability in the Sensor Web. To collaborate with multiple resources environment, the grid computing concept is integrated with sensor web. Resource discovery and the scheduling schemes in the grid architecture are organized using the medium access control protocol. The various cross layer metrics proposed are Memory Awareness, Task Awareness and Energy Awareness. Based on these metrics, the parameters-Node Waiting Status, Used CPU Status, Average System Utilization, Average Utilization per Cluster, Cluster Usage per Hour and Node Energy Status are determined for the integrated heterogeneous WSN with sensor web in Grid Environment. From the comparative analysis, it is shown that sensor grid architecture with middleware framework has better resource awareness than the normal sensor network architectures.

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Section: Recent Workmentioning

confidence: 99%

Enabling Resource Awareness in Integrated Sensor Grid Framework Using Cross Layer Scheduling Mechanism

Subhashini¹,

Alli²

2016

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“…In relatively sparse environments, clustering will not greatly improve network performance. In high density, SBSD can reduce redundant broadcasts by confining each subscription spec to an estimated connected dominating set of nodes, statically in [27] and dynamically in [29]. Thus, SBSD can be extended to achieve some of the benefits of hierarchical schemes while retaining those of the pure distributed approach.…”

Section: Node Ranksmentioning

confidence: 99%

“…For low densities, brokers can dynamically adjust their queue size and make more redundant broadcasts. If all brokers have GPS, we may implement a deterministic, grid-based medium access control, such as GLASS [27].…”

Section: Conclusion and Future Researchmentioning

confidence: 99%

Demand-driven publish/subscribe in mobile environments

Ouksel

Lundquist

2010

Wireless Netw

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We propose a novel routing protocol, SelfBalancing Supply/Demand (SBSD), for Publish/Subscribe in mobile ad hoc environments. SBSD is a controlled flooding that reduces network congestion by constraining how far subscriptions replicate and how many times nodes broadcast them. SBSD ranks subscriptions by a utility function. This function matches the supply of publications with the recent demand for them; more popular subscriptions are replicated farther and their replicas are retained longer. SBSD is therefore demand-driven, as more popular subscriptions are more likely to receive their matching publications and receive them sooner. We show that SBSD is scalable; routing distance is independent of network size. SBSD's performance is examined under random mobility, under challenging conditions including high node mobility and broadcast failure rates.

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“…So far, researchers address the challenges of DISNs mainly by studying the medium access control (MAC) protocols [12,13,18]. The authors either study the medium access using simulations, or study the trust management in DISNs.…”

Section: Related Workmentioning

confidence: 99%

LiteWS: A Web Service Enhancing Multi-User Queries in Data Intensive Sensor Networks

Takahashi

Tang

2010

2010 IEEE International Conference on Communications

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Abstract-Internet-based data intensive sensor networks (DISNs) are sensor networks wherein large volume of different types of sensory data are sensed and generated from the physical world, and queried by multiple users simultaneously. One critical issue in Internet-based DISNs is how to support multiple user queries simultaneously in an efficient manner, in terms of query response time, query loss ratio and sensor node energy consumption. In this paper, we formulate and study multi-user data query problem in DISNs and present our solution. Specifically, we present our design, implementation, and evaluation of LiteWS, a web service system aiming to enhance multi-user queries in Internet-based DISNs. We propose a simple caching technique and give an analytical model of how to reduce query loss ratio in our system. Through extensive experiments based on Crossbow IRIS motes, we evaluate the system performance of LiteWS under both correlated and uncorrelated query traffic. We show the performance with data caching is much better than the one without; particularly, the average query response time of LiteWS is improved 5 to 10 times and the query loss rate is improved 2 times.

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Grid-Based Access Scheduling for Mobile Data Intensive Sensor Networks

Cited by 6 publications

References 17 publications

Enabling Resource Awareness in Integrated Sensor Grid Framework Using Cross Layer Scheduling Mechanism

Enabling Resource Awareness in Integrated Sensor Grid Framework Using Cross Layer Scheduling Mechanism

Demand-driven publish/subscribe in mobile environments

LiteWS: A Web Service Enhancing Multi-User Queries in Data Intensive Sensor Networks

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