Energy-efficient clustering algorithm based on energy variance for Wireless Sensor Networks

Randriatsiferana, Rivo; Lorion, Richard; Alicalapa, Frédéric; Harivelo, Fanilo

doi:10.1109/saconet.2013.6654571

Cited by 11 publications

(7 citation statements)

References 12 publications

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“…E elce = 0.28mJ, and the E rx = 0.121mJ. For the amplifier E fs = 10pJ/bit/m 4 [22]. In this paper, 50 simulations are done in order to contrast performance between TRS, ECRS and RED_LEACH [20], the number of data packets is presented in Figure 4a-c.…”

Section: Simulation and Discussionmentioning

confidence: 99%

“…And the channel is assumed to be AWGN channel [21]. When the relay node sends a data package on transmission distance of

d_{i}

, the energy consumed is represented as

E_{send} = E_{elce} \times L + E_{f s} \times L \times d_{i}^{2},

where L is the size of the message in bits,

E_{elce}

denotes the energy consumption by the radio transceiver for transmitting bit data, and

E_{f s}

is the energy consumed by the radio amplifier [22].…”

Section: Relay Selection Algorithmmentioning

confidence: 99%

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Energy cooperation in wireless relay networks

Liu

et al. 2020

IET Communications

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This work deals with the problem of insufficient energy caused by the frequent use of relay nodes in wireless sensor networks. Here, energy cooperation relay selection algorithm is proposed in energy heterogeneous networks. It is assumed that the location of relay nodes obeys a homogeneous Poisson point process (PPP), and the relay nodes adopt an adaptive energy collection technology, which can harvest energy from the surrounding environment and decide whether to use or store it according to the current energy status of the battery. The relay nodes are divided into three kinds: the communication relay, the candidate relay and the ordinary relay. The candidate relay nodes are determined by K‐medoids clustering algorithms and the ordinary relay nodes transmit energy to them. Finally, the number of data packets sent by relay nodes and the expression of the energy status of the battery are derived correspond to the relay cooperation selection algorithm. The simulation results show that the energy cooperation relay selection scheme effectively extends lifetime of the network when the total network energy is relatively small.

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Section: Simulation and Discussionmentioning

confidence: 99%

“…And the channel is assumed to be AWGN channel [21]. When the relay node sends a data package on transmission distance of

d_{i}

, the energy consumed is represented as

E_{send} = E_{elce} \times L + E_{f s} \times L \times d_{i}^{2},

where L is the size of the message in bits,

E_{elce}

denotes the energy consumption by the radio transceiver for transmitting bit data, and

E_{f s}

is the energy consumed by the radio amplifier [22].…”

Section: Relay Selection Algorithmmentioning

confidence: 99%

Energy cooperation in wireless relay networks

Liu

et al. 2020

IET Communications

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“…In our previous work, we are interested cluster-based network (CBN) organization which is an important approach for meeting the energy-efficiency objective through energy balance [23], [24]. LEACH concept is to divide the network operation into a round time which requires two main operation: cluster heads (CHs) selection and assignment of each WSD to one cluster [22], [23]. Each WSD has the same probability of becoming a CH and the task of being a CH is rotated between WSDs according to a round time.…”

Section: B Network Lifetimesmentioning

confidence: 99%

“…Model BMAC LEACH Fig. 12: Network lifetime we consider direct communication, by using relation (23), between the WSD and the BS with TX power P T x = 0dBm, the WSD lifetime can reach 7.15 years whereas network lifetime can only reach 4.42 years. The reason is that our EM takes into account a mutual data transfer between MCU and RM.…”

Section: Remaining Energy [Kj]mentioning

confidence: 99%

Energy Modelling Based On Power Profiling of Wireless Sensor Device

RANDRIATSIFERANA¹,

Alicalapa²,

Lorion³

et al. 2022

Preprint

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“…They also address the energy problem by taking into account the remaining energy as the main metric in the CHs selection operation, but in a distributed process. Recently, e-LEACH [15] was proposed to improve the CHs selection by introducing an energy variation coefficient. The reduction of energy consumption phenomena has evolved, and the CHs layout is well distributed by setting as a main goal the following criteria: all nodes in the network should consume, approximately, the same amount of average energy at each round.…”

Section: Related Workmentioning

confidence: 99%

Weighted Route Selection in Cluster-Based Protocol forWireless Sensor Networks

Randriatsiferana¹,

Antilahy²,

Alicalapa³

et al. 2016

ICST Transactions on Ubiquitous Environments

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The efficiency of wireless sensor network is highly based on the algorithm complexity of the communication protocol which must minimize the energy dissipated by the sensor nodes. In order to pursue energy consumption minimization, this paper presents Weighted Route Selection (WeRoS) in Cluster-Based method, which uses multihop communication for data forwarding from cluster-head (CH) to the base station as a unique path. WeRoS takes also into account the remaining energy of a node and its coefficient of variation during CHs selection process. A novel-scheduling algorithm is also proposed, in which the CHs can selforganize themselves during the data transmission phase. This algorithm is executed in the cluster formation phase, in order to avoid another phase of route discovery and to conserve energy, while considering the node memory constraint. Complexity analysis and simulation results show that WeRoS can efficiently balance the energy consumption and extends the network lifetime.

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Energy-efficient clustering algorithm based on energy variance for Wireless Sensor Networks

Cited by 11 publications

References 12 publications

Energy cooperation in wireless relay networks

Energy cooperation in wireless relay networks

Energy Modelling Based On Power Profiling of Wireless Sensor Device

Weighted Route Selection in Cluster-Based Protocol forWireless Sensor Networks

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