Cross-Layer, Energy-Efficient Design for Supporting Continuous Queries in Wireless Sensor Networks: A Quorum-Based Approach

Tsai, Chia-Hung Dylan; Hsu, Tsung-Yuan; Pan, Meng-Shiuan; Tseng, Yu–Chee

doi:10.1007/s11277-009-9760-x

Cited by 15 publications

(11 citation statements)

References 30 publications

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“…A cross layer solution for connecting asynchronous power control and continuous query processing is discussed in [27]. Similar cross layer mechanism for Quality of Service (QoS) aware communication framework is established using the suboptimal distributed control algorithm.…”

Section: Recent Workmentioning

confidence: 99%

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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%

“…The trust between the cluster sensor location and the transmission schedule is established using such protocols [31] [32]. Heterogeneous energy supply model with energy harvesting (EH) is developed with the aim to optimize source rate utilization and energy consumption [27].…”

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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“…Haapola et al [32], Suh et al [33], and Hurni et al [34] have performed energy efficiency using MAC, radio transceiver energy, and cross layer approach to maintain optimal lifetime. Tsai et al [35] have proposed a framework for energy conservation on MAC layer for finding the query paths based on energy cost consumed in grid quorums. Cross layer approach was also used for energy efficiency in data aggregation process in wireless sensor network as seen in the work of Almiani et al [36].…”

Section: Cross Layer-based Approachmentioning

confidence: 99%

Trends and Technologies Used for Mitigating Energy Efficiency Issues in Wireless Sensor Network

P¹,

Usha²

2015

IJCA

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In the recent times, various applications are conceptualized where wireless sensor network (WSN) is used either as a subnetwork or as a complete domain. WSN having its unique characteristics, because of that the applicable protocols for congestion control, routing and security require distinguished mechanism as compared to other wireless networks such as WLAN, MANET, etc. One of the most irreversible resources is battery power. Since year 2000 a project called µAMS in Massachusetts Institute of technology (MIT), where Wendi Heizelman has introduced a communication protocol called Low Energy Adaptive clustered Hierarchy (LEACH). Since then, till today enormous amount of research schemes have been suggested to have different layers protocols in WSN, with optimal use of energy. This paper aims to study, investigate and analyze various contributions, limitations, technology used towards energy optimization based protocol development in WSN. The outcome of this paper will be quite valuable fro academicians, industries and researchers as a one hand tool to understand future research directions.

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“…In [9], the joint optimal design of the physical, MAC and routing layer is considered which is called as Energy Optimization Approach (EOA). A crosslayer approach is also established between MAC layer and network layer where the grid-quorum system is used on MAC layer and on the network layer the authors propose to find query paths based on the power cost incurred by grid quorums used by nodes along a path [10]. A unified cross-layer protocol (XLP) is presented in [11][12] which achieves congestion control, routing and medium access control in a cross-layer fashion.…”

Section: Related Workmentioning

confidence: 99%

Energy Efficient Cross-Layer Approach for Wireless Sensor Networks

Jony¹,

Islam²

2015

IJCA

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Energy minimization has become a burning issue for Wireless sensor networks (WSNs) which are mainly event based systems and rely on the collective effort of several microsensor nodes continuously observing a physical phenomenon. Energy efficient approaches or tools are the key to prolong the lifetime of the sensor nodes. This paper presents a cross-layer approach between the medium access control (MAC) and the network layer to achieve energy efficiency. Ad-hoc OnDemand Distance Vector (AODV) is used here as routing protocol in the network layer along with IEEE-802.11 protocol in the MAC layer. Simulation results show that cross-layer approach obtains significant energy savings compared with traditional approaches.

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Cross-Layer, Energy-Efficient Design for Supporting Continuous Queries in Wireless Sensor Networks: A Quorum-Based Approach

Cited by 15 publications

References 30 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

Trends and Technologies Used for Mitigating Energy Efficiency Issues in Wireless Sensor Network

Energy Efficient Cross-Layer Approach for Wireless Sensor Networks

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