Network coding based energy efficient LEACH protocol for WSN

Tamilselvan, G. M.; Gandhimathi, K.

doi:10.22201/icat.16656423.2019.17.1.750

Cited by 3 publications

(4 citation statements)

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“…The great development in microelectronic and electromechanical circuits, in addition to the recent development in wireless communication systems, led to the production of small-sized smart sensors with limited power, which have the ability to communicate wirelessly with each other, forming a network, which called wireless sensor network (WSN). These sensors designed to read the physical changes in the respective environments, convert them into digital signals, and then send them to the base station via other nodes [1]. Since, network sensors have limited battery power and it is very difficult to recharge or change the battery, researchers have developed many solutions to this problem by producing sensors with low-power architectures and developing several energy-saving routing protocols [2].…”

Section: Introductionmentioning

confidence: 99%

Optimization of LEACH Protocol for WSNs in Terms of Energy Efficient and Network Lifetime

Salman

Mohammed

Mutar

2023

JCSANDM

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Wireless Sensor Network (WSN) is a group of small, intelligent sensors with limited resources. WSN has limited energy restrictions, so, the network lifetime is the major challenge that directly affect the efficiency of the network. This work presents an energy-saving clustering hierarchical algorithm for WSNs; it is an improvement of Low-Energy adaptive Clustering Hierarchy (LEACH) algorithm. The aim of this algorithm is to minimize power consumption by the appropriate election of new cluster heads in every data transfer round and avoid network collisions. This goal achieved by using an efficient function to select the best cluster heads nodes in each round, which takes into account the current energy in the sensors. The proposed algorithm improves the cluster formation process by relying on the shorter distance to the base station. The Time Division Multiple Access (TDMA) mechanism also utilized to schedule the transmission of data packets to cluster heads nodes and to avoid data packet collisions at the base station. Experiments conducted in MATLAB R (2020a) software showed that the suggested algorithm extended the network lifetime by 14.5%, and improved the network throughput by 16.8% compared to the LEACH algorithm. That means, the proposed energy-saving clustering hierarchy algorithm has improved the performance of the LEACH algorithm in term of enhancing network lifetime and increasing network throughput.

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Section: Introductionmentioning

confidence: 99%

Optimization of LEACH Protocol for WSNs in Terms of Energy Efficient and Network Lifetime

Salman

Mohammed

Mutar

2023

JCSANDM

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“…In such a WSN, sensors are used to monitor many mine environmental risks related to vibrations, temperature, and air concentration. However, due to the long-term nature of WSN operations in silver mine applications, their energy consumption can degrade the performance of monitoring operations [3]. To reduce WSN energy consumption, clustering-based energy-efficient protocols can be used to reduce power consumption and enhance network operation.…”

Section: Introductionmentioning

confidence: 99%

“…Proper communication within mines and between underground work areas and surface monitoring stations will enable better underground facility operations. In particular, the communication ability in underground mines provides many services related to safety, production, and productivity; in addition, it facilitates the daily monitoring operations, extraction of products, and their transportation to the surface [3]. Thus the WSNs for silver mine monitoring, as shown in Figure 1, will provide technical support to monitor and control silver mining operations.…”

Section: Introductionmentioning

confidence: 99%

Efficient Energy Mechanism in Heterogeneous WSNs for Underground Mining Monitoring Applications

et al. 2022

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Wireless Sensor Networks (WSNs) play an important role in underground mining applications. In particular, they help to collect information using sensors and provide monitoring of complex mine environments to avoid potential risks and manage operations. Despite the importance of WSNs, they face the problem of energy consumption and the difficulty of replacing the batteries of the sensor nodes. The distributed energy efficient aggregation protocol (DEECP) helps to reduce the power consumption of the WSN. This protocol enables an increase in the lifetime of a WSN. The DEECP algorithm uses the clustering concept and selects cluster heads (CHs) according to the election probability based on the ratio between the residual energy and network average energy of each node. However, this method does not provide an optimum solution because it does not take into account the different sensor energy levels. In addition, the algorithm does not consider the effect of the distance between the base station and sensor node likely be chosen to become a CH. This can significantly affect the performance of the WSN. This paper proposes an optimization threshold for CH selection based on three energy levels of a sensor, namely, low, high, and super as well as the measurement of the distances between base stations and possible nodes be selected as CHs to optimize the CH selection method. The proposed approach is evaluated and compared with DEECP in terms of dead nodes, alive nodes, and network throughput. The results show that the proposed approach outperforms DEECPs in terms of network stability and lifetime.

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“…Low-energy adaptive clustering hierarchy (LEACH) is regarded as the most prominent traditional clustering algorithms for WSN applications [2], [6][7][8]. The basic procedures of LEACH are split into set up and steady state phase in every round.…”

Section: Introductionmentioning

confidence: 99%

Cooperative Game Theory Approach for Energy-Efficient Node Clustering in Wireless Sensor Network

Wael

Armi

Mitayani

et al. 2020

indones.j.electron.telecommun.

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Energy consumption is one of the critical challenges in designing wireless sensor network (WSN) since it is typically composed of resource-constrained devices. Many studies have been proposed clustering to deal with energy conservation in WSN. Due to its predominance in coordinating the behaviors of many players, game theory has been considered for improving energy efficiency in WSN. In this paper, we evaluate the performance of cooperative game theoretic clustering (CGC) algorithm which employs cooperative game theory in a form of 3-agent cost sharing game for energy-efficient clustering in WSN. Furthermore, we compared its performance to a well-known traditional clustering method, low-energy adaptive clustering hierarchy (LEACH), in terms of network lifetime and stability, and total residual energy. The simulation results show that CGC has better performance compared to LEACH due to the cooperation among cluster heads in coalition. CGC has higher alive nodes with stability improvement of first node dies (FND) by 65%, and the improvement by 52.4% for half node dies (HND). However, with the increasing of the number of nodes, the performance of LEACH is getting better compared to CGC.

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Network coding based energy efficient LEACH protocol for WSN

Cited by 3 publications

References 0 publications

Optimization of LEACH Protocol for WSNs in Terms of Energy Efficient and Network Lifetime

Optimization of LEACH Protocol for WSNs in Terms of Energy Efficient and Network Lifetime

Efficient Energy Mechanism in Heterogeneous WSNs for Underground Mining Monitoring Applications

Cooperative Game Theory Approach for Energy-Efficient Node Clustering in Wireless Sensor Network

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