A survey on energy efficient routing protocols in wireless sensor network

Lonare, Savita; Wahane, Gayatri

doi:10.1109/icccnt.2013.6726591

Cited by 11 publications

(4 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Finally, the absence of the control-pact (to make a data transmission, a minimum amount of control packets should be employed.) [6].…”

Section: The Challenges Of Power In Wsnmentioning

confidence: 99%

“…It increases the network's stability. In [16] the authors presented different cases of Energy Efficient Routing (EER) depending on the applications of them are classified in data relaying protocols, data-centric protocols, location-based or geographical protocols, hierarchical or clustering-based protocols, heterogeneous protocols, mobility-based protocols. All of these protocols are focused on energy-efficiency in WSN.…”

Section: The Challenges Of Power In Wsnmentioning

confidence: 99%

See 1 more Smart Citation

A Survey of Power Consumption Minimization in WSN Using Feedback Control Strategies

2022

IJCCCE

View full text Add to dashboard Cite

Wireless Sensor Network (WSN) represents a key network in the present and future Internet of Things (IoT) technology. WSN has an uncountable number of applications and is commonly used to aggregate information and control the physical environment remotely through small embedded devices known as wireless sensor nodes. Power consumption is one of the main challenges in WSN due to the limitation of power resources. Consequently, several techniques have been followed to optimize power consumption. The feedback control system is one of the routes that has been utilized to minimize power consumption in WSN using the mathematical model of power and rate control in WSN. In this paper, a concise review of various types of control systems that are deployed for power saving in WSN will be discussed. The comparison between the applied control strategies is the key finding. Index Terms— WSNs, power Consumption, feedback control, rate control, adaptive control.

show abstract

“…Finally, the absence of the control-pact (to make a data transmission, a minimum amount of control packets should be employed.) [6].…”

Section: The Challenges Of Power In Wsnmentioning

confidence: 99%

Section: The Challenges Of Power In Wsnmentioning

confidence: 99%

A Survey of Power Consumption Minimization in WSN Using Feedback Control Strategies

2022

IJCCCE

View full text Add to dashboard Cite

show abstract

“…In NS2, we distribute randomly 100 nodes (in equations (1)-(3), (6), (8)- (10), 100 N  ) in the area of . In (3) and (10), according to the reference [10] and 0 c R , we set min 0 05 .00 p  , 50 LEACH R  [6,[10][11][12]18,19] . The network topology of LEACH, HEED, EEUC and the proposed new algorithm are shown in Fig.…”

Section: Simulation and Numerical Analysismentioning

confidence: 99%

Uneven Clustering Routing Algorithm Based on Optimal Clustering for Wireless Sensor Networks

Li¹,

Huo²

2016

jcm

View full text Add to dashboard Cite

Hierarchical routing algorithm as an energy optimization strategy has been widely considered as one of the effective ways to save energy for wireless sensor networks. In this paper, we propose an uneven clustering routing algorithm based on optimal clustering. The algorithm considers the calculation of optimal cluster number, cluster head selection, cluster radius calculation, and isolated node management. Firstly, a new method to calculate the optimal cluster number is presented by considering data fusion rate and location adaptability. Secondly, we propose a cluster head selection algorithm by considering residual energy, initial energy, average energy consumption, and node degree. Thirdly, in order to solve "hot spot" problem, a self-adaptive uneven clustering algorithm is proposed, which takes node degree into consideration. Besides, we propose a solution to solve "isolated nodes problem". The isolated nodes join the nearest clusters according to the cost for joining near cluster and sending data to the base station through the nearest cluster head. The simulation results show the superiority in terms of network lifetime, the number of alive nodes, and the total energy consumption.

show abstract

“…that is taken by a sensor has an energy cost that slowly exhausts the power of the sensor. The death of a single node does not have a major impact on the network, but when several nodes disappear, the performance of the network is reduced [2,3]. The WSN significantly expands our ability to monitor and control the physical environment from remote sites and improve the accuracy of information obtained through collaboration between sensor nodes and information at these nodes [1,4].…”

Section: Introductionmentioning

confidence: 99%

Three Level Heterogeneous Zonal Stable Election Protocol for Energy Efficiency in Wireless Sensor Networks

2021

View full text Add to dashboard Cite

Sensor battery limitation has always been the most challenging hurdle for wireless sensor networks. Many energy effcient routing protocols have been proposed to overcome this issue in homogeneous networks where sensor nodes start with the same initial energy. When sensor nodes have different amount of initial energy, the network is heterogeneous and it becomes complicated to design an energy effcient routing protocol to save nodes energy and prolong network lifetime. Herein, we propose a three level heterogeneous routing protocol to boost network stability period of wireless sensor networks. The network model splits up into five zones according to nodes initial energies and distance to base station. For data communication, the proposed model relies on two types of communications: Direct and Multi-Hop. The choice of the type of communication is made according to nodes initial energy and their distance to the base station. The clustering scheme is used just in the zones that contains nodes with higher energies. The simulation of our proposed scheme is done using Matlab simulator and the results are compared to the conventional heterogeneous routing protocols 3-level heterogeneous Stable Election Protocol and 3-level Modified Low Energy Adaptive Clustering Hierarchy.

show abstract

A survey on energy efficient routing protocols in wireless sensor network

Cited by 11 publications

References 17 publications

A Survey of Power Consumption Minimization in WSN Using Feedback Control Strategies

A Survey of Power Consumption Minimization in WSN Using Feedback Control Strategies

Uneven Clustering Routing Algorithm Based on Optimal Clustering for Wireless Sensor Networks

Three Level Heterogeneous Zonal Stable Election Protocol for Energy Efficiency in Wireless Sensor Networks

Contact Info

Product

Resources

About