Relay characteristic impact on energy consumption in heterogeneous sensor network

Chen, Jiejia; Massouri, Abdelbasset; Clavier, Laurent; Loyez, Christophe; Rolland, N.; Rolland, P.A.

doi:10.1016/j.aeue.2011.10.011

Cited by 2 publications

(5 citation statements)

References 15 publications

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“…For Problem (6) without constraint (6d), when there is a single source in the network, EH duration τ 0 should be adjusted just to meet S 1 's power requirement, i.e., Eq. (6b) holds with equality.…”

Section: A Single Sourcementioning

confidence: 99%

“…Sub-problems: All of the sub-problems are in the same reduced form of Problem (6) for N = 1 and fixed τ 0 = τ 0 , which is given as…”

Section: B Multiple Sourcementioning

confidence: 99%

“…Define τ max 0 = max i∈{1,...,N } {τ i 0 }. Then, τ max 0 is the upper bound for the optimum τ 0 of Problem (6).…”

Section: B Multiple Sourcementioning

confidence: 99%

“…Recently, relay nodes have been considered in RF-EH networks for further improvement of network performance in terms of efficiency and reliability [2]. In conventional networks, relaying is a promising strategy to increase system throughput, network coverage and energy efficiency by assisting information transmission of users [6], [7]. In RF-EH networks, apart from information forwarding, relays can also broadcast more energy to the users [8], [9].…”

Section: Introductionmentioning

confidence: 99%

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Relay Selection, Scheduling and Power Control in Wireless Powered Cooperative Communication Networks

Onalan¹,

Salik²,

Coleri³

2020

Preprint

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Relay nodes are used to improve the throughput, delay and reliability performance of energy harvesting networks by assisting both energy and information transfer between information nodes and access point. Previous studies on radio frequency energy harvesting networks are limited to single source single/multiple relay networks. In this paper, a novel joint relay selection, scheduling and power control problem for multiple source multiple relay network is formulated with the objective of minimizing the total duration of wireless power and information transfer. The formulated problem is non-convex mixed-integer non-linear programming problem, and proven to be NP-hard. We first formulate a subproblem on scheduling and power control for a given relay selection. We propose an efficient optimal algorithm based on a bi-level optimization over power transfer time allocation. Then, for optimal relay selection, we present optimal exponential-time Branch-and-Bound (BB) based algorithm where the nodes are pruned with problem specific lower and upper bounds. We also provide two BB-based heuristic approaches limiting the number of branches generated from a BB-node, and a relay criterion based lower complexity heuristic algorithm. The performance of the proposed algorithms are demonstrated to outperform conventional harvest-then-cooperate approaches with up to 88% lower schedule length for various network settings.

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Section: A Single Sourcementioning

confidence: 99%

“…Sub-problems: All of the sub-problems are in the same reduced form of Problem (6) for N = 1 and fixed τ 0 = τ 0 , which is given as…”

Section: B Multiple Sourcementioning

confidence: 99%

“…Define τ max 0 = max i∈{1,...,N } {τ i 0 }. Then, τ max 0 is the upper bound for the optimum τ 0 of Problem (6).…”

Section: B Multiple Sourcementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Relay Selection, Scheduling and Power Control in Wireless Powered Cooperative Communication Networks

Onalan¹,

Salik²,

Coleri³

2020

Preprint

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“…We leave mobile WSNs for our future work. Secondly, we assume that all the nodes have the same communication radius, because different communication ranges lead to heterogeneous links in two directions and hinder the bidirectional communication between parent and children nodes in the trees . Thirdly, we assume that data messages and control messages are transmitted successfully without collision, and leave analysis of this collision to our future work .…”

Section: Extended Multicast Routing Scheme With Pruning and Energy Bamentioning

confidence: 99%

Energy‐efficient multicast routing scheme for wireless sensor networks

Tang

Gao

et al. 2013

Trans Emerging Tel Tech

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This paper presents a novel energy-efficient multicast routing scheme for wireless sensor networks, named extended multicast routing scheme with pruning and energy balancing (E-MPEB) to disseminate data through layered multicast trees with high efficiency and low power consumption. E-MPEB uses pruning and energy balancing algorithms to save energy and balance load. Especially, it supports multisource multicast and multiple multicast tasks. In multisource multicast, we propose dense tree construction and conjunctive pruning algorithms to minimise total transmission in the network. We increase the number of children having the same parent to improve transmission efficiency and turn more nodes into sleep. In multiple multicast tasks, we propose sharing node avoidance algorithm to separate trees for different multicast tasks. This separation reduces transmission congestion at sharing nodes and balances total energy consumption. Formal validations and simulations evaluate the performance of E-MPEB, which show that E-MPEB has a distinct advantage over others in both reducing and balancing energy consumption.

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Relay characteristic impact on energy consumption in heterogeneous sensor network

Cited by 2 publications

References 15 publications

Relay Selection, Scheduling and Power Control in Wireless Powered Cooperative Communication Networks

Relay Selection, Scheduling and Power Control in Wireless Powered Cooperative Communication Networks

Energy‐efficient multicast routing scheme for wireless sensor networks

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