An adaptive clustering approach to dynamic load balancing and energy efficiency in wireless sensor networks

Gherbi, Chirihane; Aliouat, Zibouda; Bahaj, Mohamed

doi:10.1016/j.energy.2016.08.012

Cited by 85 publications

(42 citation statements)

References 14 publications

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“…Hierarchical Energy-Balancing Multipath (HEBM) [76] is a hierarchical routing protocol with an adaptive clustering scheme, for homogeneous WSNs and a static base station with unlimited energy reservoir and communication power. It calculates the best cluster size balance, resulting in a minimum energy network topology.…”

Section: Hierarchy Basedmentioning

confidence: 99%

Energy Efficient Routing in Wireless Sensor Networks: A Comprehensive Survey

2020

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Wireless Sensor Networks (WSNs) are among the most emerging technologies, thanks to their great capabilities and their ever growing range of applications. However, the lifetime of WSNs is extremely restricted due to the delimited energy capacity of their sensor nodes. This is why energy conservation is considered as the most important research concern for WSNs. Radio communication is the utmost energy consuming function in a WSN. Thus, energy efficient routing is necessitated to save energy and thus prolong the lifetime of WSNs. For this reason, numerous protocols for energy efficient routing in WSNs have been proposed. This article offers an analytical and up to date survey on the protocols of this kind. The classic and modern protocols presented are categorized, depending on i) how the network is structured, ii) how data are exchanged, iii) whether location information is or not used, and iv) whether Quality of Service (QoS) or multiple paths are or not supported. In each distinct category, protocols are both described and compared in terms of specific performance metrics, while their advantages and disadvantages are discussed. Finally, the study findings are discussed, concluding remarks are drawn, and open research issues are indicated.

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Section: Hierarchy Basedmentioning

confidence: 99%

Energy Efficient Routing in Wireless Sensor Networks: A Comprehensive Survey

2020

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“…Efficient Sleep Awake Aware (EESAA) is an intelligent routing protocol for WSNs which introduced a technique of pairing among nodes. Among these pairs, just a single member node awakes in each round to forward sensed data while the other member node stays in sleep mode to save the energy resources (Gherbi et al, 2016). Deployment of relay nodes results in fault-tolerance in heterogeneous WSN with higher network connectivity.…”

Section: Related Workmentioning

confidence: 99%

The importance of energy efficient in wireless sensor networks

Mask

Brown

Lucky

et al. 2019

irjmis

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Mobile Node-based routing is an efficient routing technique compared to traditional approaches. Due to this FERP majorly data isolation is provided for sensor nodes, and the network is more energy efficient. The Mobile data collector collects data from only Family heads and forwards to the cluster head. The Node level energy saving scheme is proposed in this work. The performance of this routing protocol is assessed based on Energy consumption, Throughput, Lifetime, Packet Delivery Ratio, Energy efficiency. Most of the Energy is saved due to the introducing of mobile nodes for data collection. Apart from this, we are reducing the load for mobile data collectors also. In general, mobile data collectors have high energy resources. But it is not possible in all terrains. This FERP gives better results in military and plateaus, and irregular terrains where multihop communication is complex. This work is further enhanced by Trust node based routing to improve the lifetime of the network.

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“…The sensor nodes communicate with each other using a wireless link. The nodes are assumed to be synchronized at the beginning of the network operation . The network operation is divided into rounds.…”

Section: Preliminariesmentioning

confidence: 99%

DUCR: Distributed unequal cluster‐based routing algorithm for heterogeneous wireless sensor networks

Mazumdar

2017

Int J Communication

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Designing energy efficient communication protocols for wireless sensor networks (WSNs) to conserve the sensors' energy is one of the prime concerns. Clustering in WSNs significantly reduces the energy consumption in which the nodes are organized in clusters, each having a cluster head (CH). The CHs collect data from their cluster members and transmit it to the base station via a single or multihop communication. The main issue in such mechanism is how to associate the nodes to CHs and how to route the data of CHs so that the overall load on CHs are balanced. Since the sensor nodes operate autonomously, the methods designed for WSNs should be of distributed nature, i.e., each node should run it using its local information only.Considering these issues, we propose a distributed multiobjective-based clustering method to assign a sensor node to appropriate CH so that the load is balanced. We also propose an energy-efficient routing algorithm to balance the relay load among the CHs. In case any CH dies, we propose a recovery strategy for its cluster members. All our proposed methods are completely distributed in nature. Simulation results demonstrate the efficiency of the proposed algorithm in terms of energy consumption and hence prolonging the network lifetime. We compare the performance of the proposed algorithm with some existing algorithms in terms of number of alive nodes, network lifetime, energy efficiency, and energy population.

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An adaptive clustering approach to dynamic load balancing and energy efficiency in wireless sensor networks

Cited by 85 publications

References 14 publications

Energy Efficient Routing in Wireless Sensor Networks: A Comprehensive Survey

Energy Efficient Routing in Wireless Sensor Networks: A Comprehensive Survey

The importance of energy efficient in wireless sensor networks

DUCR: Distributed unequal cluster‐based routing algorithm for heterogeneous wireless sensor networks

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