DAR: An energy-balanced data-gathering scheme for wireless sensor networks

Bi, Yanzhong; Li, Na; Sun, Limin

doi:10.1016/j.comcom.2007.05.021

Cited by 28 publications

(16 citation statements)

References 15 publications

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“…The possible applications include sending field data from a sensor to a randomly chosen data sink out of several spatially distributed sinks that are deployed for traffic and energy load balancing [39,40]. This study can be extended to other application-specific sensor networks involving many-to-one communications.…”

Section: Contributionsmentioning

confidence: 99%

Network lifetime maximising distributed forwarding strategies in Ad Hoc wireless sensor networks

Panigrahi

Panda

et al. 2012

IET Commun.

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Abstract:The authors propose three variants of distributed and stateless forwarding strategies for wireless sensor networks, namely greedy minimum energy consumption forwarding protocol (GMFP), lifetime maximising GMFP (LM-GMFP) and variance minimising GMFP (VAR-GMFP), which aim at maximising the network lifetime while achieving a high forwarding success rate. GMFP selects a forwarding node that minimises per-packet energy consumption while maximising the forwarding progress. LM-GMFP extends the GMFP algorithm by also taking into account the remaining energy at the prospective one-hop forwarding nodes. In VAR-GMFP, on the other hand, the packet is forwarded to the next node that ensures a locally high mean and low variance of nodal remaining energy. Through simple probabilistic analysis the authors prove the intuition behind the optimum forwarding node selection for network lifetime maximisation. They then model the lifetime maximisation of a sensor network as an optimisation problem and compare the practical protocol-dependent network lifetime with the theoretical upper bound. Through extensive simulations the author demonstrate that the proposed protocols outperform the existing energy-aware protocols in terms of network lifetime and end-to-end delay.

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Section: Contributionsmentioning

confidence: 99%

Network lifetime maximising distributed forwarding strategies in Ad Hoc wireless sensor networks

Panigrahi

Panda

et al. 2012

IET Commun.

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“…Usually such a network is modelled so that the sensor nodes are deployed into a boundary-limited area with the sink node(s) located at the center or border of the area. [1]- [3] There are several critical metrics in such a WSN configuration. Firstly, in order to maximize the network lifetime, the sensor nodes usually wake up to sense and transmit intermittently, and turn back to sleep for the rest of time to reduce battery dissipation.…”

Section: Introductionmentioning

confidence: 99%

A Transmission Scheduling for Data-Gathering Wireless Sensor Networks

Gao

Kivelä²,

Tan³

et al. 2012

2012 9th International Conference on Ubiquitous Intelligence and Computing and 9th International Conference on Autonomic and Tr

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In this paper we present a transmission scheduling protocol for data-gathering Wireless Sensor Networks (WSN). We focus on the delivery performance in term of overall Packet Receive Ratio (PRR) at the sink node. In order to reduce the energy consumption and increase the overall delivery performance, elaborated scheduling algorithm is applied to the transmission and relaying of data packets, based on a beacon-broadcasting global synchronization. We tested the protocol using CiNet nodes, which is built on IEEE 802.15.4 compliant radio modules CC2420 and Jennic JN5148, and obtained significant delivery improvement in multihop scenarios. This protocol is suitable for energy-hungry data gathering wireless sensor networks in which the sensor nodes use a short time window for radio activities in order to save energy.

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“…FGS (fine-grain gradient sinking) [17,18] introduces average weighted mechanism based on the HGS (hop gradient sinking) model and converts hop count information into fine gradient information as the reference to establish data transmission strategy. Data aggregating ring (DAR) [19] classifies the nodes by the hop counts, the data packets are not always transmitted along the gradient direction to the destination node through multiple hops, and the data with other gradient values can be directly forwarded to the destination node through only one hop by the load balance mechanism. In [20], the nodes are distributed in the different hierarchical circle areas based on the nodes' nonuniform distribution strategy, it establishes the shortest transmission path also among different hierarchical circle areas.…”

Section: Gradient Based Transmissionmentioning

confidence: 99%

“…→ new cluster (19) endfor (20) endfor (21) interests flooding (22) get the minimum hops to destination node (23) for 2 = 1 :…”

Section: Characteristics Of Twice -Means Nonuniform Clusteringmentioning

confidence: 99%

Gradient Based Multipath Reliable Transmission Strategy with Fault Tolerance for Wireless Sensor Networks

Xiong

Shi

et al. 2014

International Journal of Distributed Sensor Networks

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Fault tolerance and reliable transmission are hot issues in wireless sensor networks. For the problems that the fault of nodes or links will affect the transmission stability and reliability of the network, a gradient based multipath reliable transmission strategy with fault tolerance is presented for wireless sensor networks. Firstly nonuniform clustering topology is established in nonequal clustering probability based on twice K-means algorithm. Then it calculates the comprehensive measurements (CM) of cluster heads by the quality evaluation function and establishes the contour lines. Finally gradient based multiple disjoint transmission paths are established by the mechanisms of load balance and linear erasure coding. It also establishes the transmission mathematical model to analyze the performance of the network. Simulation shows that this strategy has good performance of fault tolerance. It improves the transmission reliability of the network and energy efficiency.

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DAR: An energy-balanced data-gathering scheme for wireless sensor networks

Cited by 28 publications

References 15 publications

Network lifetime maximising distributed forwarding strategies in Ad Hoc wireless sensor networks

Network lifetime maximising distributed forwarding strategies in Ad Hoc wireless sensor networks

A Transmission Scheduling for Data-Gathering Wireless Sensor Networks

Gradient Based Multipath Reliable Transmission Strategy with Fault Tolerance for Wireless Sensor Networks

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