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 89 publications

(46 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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“…We assume that the wireless transmission channel is secure and all nodes are synchronized. The node synchronization assumption is taken only because the media access control using time division multiple access needs accurate time information, so that transmissions do not interfere …”

Section: System Modelmentioning

confidence: 99%

Distributed fuzzy logic based energy‐aware and coverage preserving unequal clustering algorithm for wireless sensor networks

Mazumdar

2017

Int J Communication

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In an energy-constrained wireless sensor networks (WSNs), clustering is found to be an effective strategy to minimize the energy depletion of sensor nodes. In clustered WSNs, network is partitioned into set of clusters, each having a coordinator called cluster head (CH), which collects data from its cluster members and forwards it to the base station (BS) via other CHs. Clustered WSNs often suffer from the hot spot problem where CHs closer to the BS die much early because of high energy consumption contributed by the data forwarding load. Such death of nodes results coverage holes in the network very early. In most applications of WSNs, coverage preservation of the target area is a primary measure of quality of service. Considering the energy limitation of sensors, most of the clustering algorithms designed for WSNs focus on energy efficiency while ignoring the coverage requirement. In this paper, we propose a distributed clustering algorithm that uses fuzzy logic to establish a trade-off between the energy efficiency and coverage requirement. This algorithm considers both energy and coverage parameters during cluster formation to maximize the coverage preservation of target area. Further, to deal with hot spot problem, it forms unequal sized clusters such that more CHs are available closer to BS to share the high data forwarding load. The performance of the proposed clustering algorithm is compared with some of the well-known existing algorithms under different network scenarios. The simulation results validate the superiority of our algorithm in network lifetime, coverage preservation, and energy efficiency. KEYWORDS coverage preservation, energy efficiency, fuzzy logic, network lifetime, unequal clustering, wireless sensor networks 1 Int J Commun Syst. 2017;30:e3283.wileyonlinelibrary.com/journal/dac

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

Cited by 89 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

Distributed fuzzy logic based energy‐aware and coverage preserving unequal clustering algorithm for wireless sensor networks

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