Design of Maximum Remaining Energy Constrained Directed Diffusion Routing for Wireless Sensor Networks

Hwang, An Kyu; Lee, Jae Yong; Kim, Byung Chul

doi:10.1007/11751588_82

Cited by 7 publications

(8 citation statements)

References 3 publications

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“…In addition, if the remaining energy of the neighbour node is also considered, then the node with the highest remaining energy will be selected among the nearest nodes [12]. No significant performance gain can be achieved if conversely the minimum energy consuming node is selected from the set of nodes with the highest remaining energy [13]. Although the prior protocol level studies have led to prolonging the nodal and network lifetime, we argue that further enhancement of network performance is possible by primarily focusing on the network lifetime maximisation and accounting for the effective energy consumption among the nodes for successful multihop forwarding.…”

Section: Motivationmentioning

confidence: 99%

“…Here, to decrease the chance of network partitioning, a relay node selection is done randomly based on the assigned probability to a node that is proportional to the energy cost function. A variant of PEAR, called maximum remaining energy directed diffusion [13], first selects a set of highest remaining energy nodes and among them chooses the one that would offer minimum energy consumption. Probabilistic geographic routing [20] is another such protocol which almost follows PEAR in selecting a relay node in the nearest zone and effectively leads to a higher end-to-end energy consumption.…”

Section: Related Workmentioning

confidence: 99%

“…Unlike the optimisation approaches in [30 -34], it looks for a joint optimality criteria from the protocol operation viewpoint by combining the factors of greedy geographic forwarding, transceiver energy consumption, nodal residual energy and link layer retransmission, in data forwarding decision at each hop, which is also different from the protocol-level solutions in [12,13,18,20,21,23]. …”

Section: Related Workmentioning

confidence: 99%

See 2 more Smart Citations

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: Motivationmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

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

Panigrahi

Panda

et al. 2012

IET Commun.

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“…In the context of energy saving, there have been several studies reported in recent years (e.g. [9,10]). These protocols may not necessarily offer maximisation of network lifetime.…”

Section: Introductionmentioning

confidence: 99%

Interference aware power controlled forwarding for lifetime maximisation of wireless ad hoc networks

Panigrahi

Sharma

2012

IET Wirel. Sens. Syst.

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In a distributed control multi-hop wireless ad hoc network, multiuser interference plays a significant role in determining the network performance. Although the effects of hidden/exposed terminals on the system throughput in wireless ad hoc networks have been extensively studied, the multiuser interference power computation without as well as with distributed power control and their effects on the network level performance have not been analysed in the literature. In this study, via probabilistic analysis the authors capture the total interference power that a receiver node experiences for fixed power transmissions as well as variable power transmissions. The authors demonstrate the impact of interference on the effective communication range of the nodes. Subsequently, the authors study the joint impact of interference, power control, and different forwarding strategies on the network lifetime. They propose two variants of forwarding protocols, power controlled nearest forward (PCN) and network lifetime extending PCN (E-PCN), which are interference aware and offer network lifetime maximisation in power controlled transmission scenarios. The numerical results on random static network performance are verified by MATLAB as well as NS-2-based network simulations. The results show that the proposed protocols outperform the existing ones in terms of network lifetime.

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“…The sensor node refers to the energy of adjacent nodes and if the energy remaining is below the proper energy level then the sensor node controls the delivery scheduling of control packets on an aperiodic basis [7][8] [9] [10]. This method will minimize the radio communication use of sensor nodes and increase the survival time of network.…”

Section: Introductionmentioning

confidence: 99%

Design of efficient routing method for USN based Large-scale Glass Greenhouses

Kang

Lee

Yoe

2007

5th ACIS International Conference on Software Engineering Research, Management &Amp; Applications (SERA 2007)

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Recently, wireless communication technology and state-of-the-art miniaturization have enabled the wireless sensor network with smart environmental sensors. The sensor network is a new field which has been vigorously researched in the ubiquitous computing and Ad hoc network. How efficiently use the limited energy in this USN (Ubiquitous Sensor Network) has been debated recently. Utilizing the Directed Diffusion and Gossiping algorithm which is based on the Large-scale Glass Greenhouses, we present a method to prolong the lifespan of the sensor network by transmitting the relevant control packet on an aperiodic basis. In the paper, we present a method to minimize the energy consumption of sensor nodes within Glass Greenhouses and ensure stable network operation at the same time through energy efficient routing between sensor nodes. Fifth International Conference on Software Engineering Research, Management and Applications 0-7695-2867-8/07 $25.00

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Design of Maximum Remaining Energy Constrained Directed Diffusion Routing for Wireless Sensor Networks

Cited by 7 publications

References 3 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

Interference aware power controlled forwarding for lifetime maximisation of wireless ad hoc networks

Design of efficient routing method for USN based Large-scale Glass Greenhouses

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