On the efficient and fast response for sensor deployment in sparse wireless sensor networks

Chang, Ben-Jye; Peng, Jia-Bin

doi:10.1016/j.comcom.2007.10.004

Cited by 8 publications

(3 citation statements)

References 21 publications

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“…Power control can be used to invert this loss by setting the power amplifier to ensure a certain power at the receiver [15][16][17]. Therefore, to transmit and to receive an l -bit packet in a distance d , the radio expends the following energy, respectively: is the electronics energy and depends on factors such as digital coding, modulation, and filtering of the signal before it is sent to the transmit amplofier.…”

Section: Evaluating Indicator Used In F-wsn (1) Coverage Relavant Modelmentioning

confidence: 99%

Distributed Multi-weight Data-gathering and Aggregation Protocol in Fleet Wireless Sensor Networks: Optimal and Heuristic Algorithms

Gao¹,

Zhao²,

Pan³

et al. 2009

IJIES

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Abstract:Clustering Algorithm is a kind of key technique used to reduce energy consumption, which can increase network scalability and lifetime. The main goal of this research is concerning protocols to contain in-motion sensor nodes in large-scale topologies, and constitute a fleet wireless sensor network which can assistant in-flight localization and alignment for carrier-based aircraft. In this paper, we abstract network model according to specific conditions of F-WSN, and select performance indicators to evaluate it. A distributed multiple-weight data gathering and aggregation protocol (DMDG) is proposed, which contains all-sided active clustering scheme and realizes long-range realtime communication by tacical data link under a TDMA/CSMA channel sharing mechanism. An analytical paradigm facilitating the most appropriate choice of the next relay is proposed. Experimental results have shown that DMDG scheme can balance the energy consumption and extend the network lifetime notably, outperform LEACH, PEACH, and DEEC in terms of network lifetime and coverage rate, especially in sparse node density or anisotropic topologies.

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Section: Evaluating Indicator Used In F-wsn (1) Coverage Relavant Modelmentioning

confidence: 99%

Distributed Multi-weight Data-gathering and Aggregation Protocol in Fleet Wireless Sensor Networks: Optimal and Heuristic Algorithms

Gao¹,

Zhao²,

Pan³

et al. 2009

IJIES

View full text Add to dashboard Cite

show abstract

“…properties of generated clusters [19][20][21][22][23][24]. We assume that all the messages received from the cluster members can be aggregated into a single message.…”

Section: Ad Hoc Networkmentioning

confidence: 99%

“…Several clustering algorithms are presented for VANET such as [13][14][15][16][17][18][19][20][21][22][23][24][25][26]. However, these algorithms do not show how the routing is performed according to their clustering algorithms after the cluster formation.…”

Section: Introductionmentioning

confidence: 99%

Data-Gathering and Aggregation Protocol for Networked Carrier Ad Hoc Networks: The Optimal and Heuristic Approach

Gao¹,

Zhao²,

Lu³

2017

Ad Hoc Networks

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In this chapter, we address the problem of data-gathering and aggregation (DGA) in navigation carrier ad hoc networks (NC-NET), in order to reduce energy consumption and enhance network scalability and lifetime. Several clustering algorithms have been presented for vehicle ad hoc network (VANET) and other mobile ad hoc network (MANET). However, DGA approach in harsh environments, in terms of long-range transmission, high dynamic topology and three-dimensional monitor region, is still an open issue. In this chapter, we propose a novel clustering-based DGA approach, namely, distributed multiple-weight data-gathering and aggregation (DMDG) protocol, to guarantee quality of service (QoS)-aware DGA for heterogeneous services in above harsh environments. Our approach is explored by the synthesis of three kernel features. First, the network model is addressed according to specific conditions of networked carrier ad hoc networks (NC-NET), and several performance indicators are selected. Second, a distributed multipleweight data-gathering and aggregation protocol (DMDG) is proposed, which contains allsided active clustering scheme and realizes long-range real-time communication by tactical data link under a time-division multiple access/carrier sense multiple access (TDMA/ CSMA) channel sharing mechanism. Third, an analytical paradigm facilitating the most appropriate choice of the next relay is proposed. Experimental results have shown that DMDG scheme can balance the energy consumption and extend the network lifetime notably and outperform LEACH, PEACH and DEEC in terms of network lifetime and coverage rate, especially in sparse node density or anisotropic topologies.

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Adaptive data aggregation and energy efficiency using network coding in a clustered wireless sensor network: An analytical approach

Rout

Ghosh

2014

Computer Communications

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On the efficient and fast response for sensor deployment in sparse wireless sensor networks

Cited by 8 publications

References 21 publications

Distributed Multi-weight Data-gathering and Aggregation Protocol in Fleet Wireless Sensor Networks: Optimal and Heuristic Algorithms

Distributed Multi-weight Data-gathering and Aggregation Protocol in Fleet Wireless Sensor Networks: Optimal and Heuristic Algorithms

Data-Gathering and Aggregation Protocol for Networked Carrier Ad Hoc Networks: The Optimal and Heuristic Approach

Adaptive data aggregation and energy efficiency using network coding in a clustered wireless sensor network: An analytical approach

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