Mobility based network lifetime in wireless sensor networks: A review

Nguyen, Linh; Nguyen, Hoc Thai

doi:10.1016/j.comnet.2020.107236

Cited by 61 publications

(24 citation statements)

References 186 publications

(225 reference statements)

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“…Energy efficient routing protocols reduce the energy consumption further by collecting data and selecting the energy saving path between the destination and source nodes. One possibility for aggregating the data in a network is via a mobile node [ 120 ], which collects the data from the normal nodes and transmits them to the base station (BS). The so-called mobility driven schemes present an efficient technique for minimizing the energy consumption by avoiding multi-hop communication and reducing the overload for the nodes closer to the base station, which typically occurs in other routing protocols [ 121 ].…”

Section: Energy Saving On Network Levelmentioning

confidence: 99%

Energy-Aware System Design for Autonomous Wireless Sensor Nodes: A Comprehensive Review

Kanoun

Bradai

Khriji

et al. 2021

Sensors

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Nowadays, wireless sensor networks are becoming increasingly important in several sectors including industry, transportation, environment and medicine. This trend is reinforced by the spread of Internet of Things (IoT) technologies in almost all sectors. Autonomous energy supply is thereby an essential aspect as it decides the flexible positioning and easy maintenance, which are decisive for the acceptance of this technology, its wide use and sustainability. Significant improvements made in the last years have shown interesting possibilities for realizing energy-aware wireless sensor nodes (WSNs) by designing manifold and highly efficient energy converters and reducing energy consumption of hardware, software and communication protocols. Using only a few of these techniques or focusing on only one aspect is not sufficient to realize practicable and market relevant solutions. This paper therefore provides a comprehensive review on system design for battery-free and energy-aware WSN, making use of ambient energy or wireless energy transmission. It addresses energy supply strategies and gives a deep insight in energy management methods as well as possibilities for energy saving on node and network level. The aim therefore is to provide deep insight into system design and increase awareness of suitable techniques for realizing battery-free and energy-aware wireless sensor nodes.

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Section: Energy Saving On Network Levelmentioning

confidence: 99%

Energy-Aware System Design for Autonomous Wireless Sensor Nodes: A Comprehensive Review

Kanoun

Bradai

Khriji

et al. 2021

Sensors

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“…A range of techniques related to mobile robots in WSNs is reviewed in [ 30 ]. Additionally, an extensive survey on recently developed methods that exploit the motion of sensor nodes and/or sink(s) to prolong the lifetime of mobile WSNs is presented in [ 31 ]. Each study aims to optimize specific parameters, such as the consumed energy, flight duration, travel distance, and task offload efficiency.…”

Section: Related Workmentioning

confidence: 99%

Hybrid Path Planning for Efficient Data Collection in UAV-Aided WSNs for Emergency Applications

Poudel

Moh

2021

Sensors

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In unmanned aerial vehicle (UAV)-aided wireless sensor networks (UWSNs), a UAV is employed as a mobile sink to gather data from sensor nodes. Incorporating UAV helps prolong the network lifetime and avoid the energy-hole problem faced by sensor networks. In emergency applications, timely data collection from sensor nodes and transferal of the data to the base station (BS) is a prime requisite. The timely and safe path of UAV is one of the fundamental premises for effective UWSN operations. It is essential and challenging to identify a suitable path in an environment comprising various obstacles and to ensure that the path can efficiently reach the target point. This paper proposes a hybrid path planning (HPP) algorithm for efficient data collection by assuring the shortest collision-free path for UAV in emergency environments. In the proposed HPP scheme, the probabilistic roadmap (PRM) algorithm is used to design the shortest trajectory map and the optimized artificial bee colony (ABC) algorithm to improve different path constraints in a three-dimensional environment. Our simulation results show that the proposed HPP outperforms the PRM and conventional ABC schemes significantly in terms of flight time, energy consumption, convergence time, and flight path.

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“…In the study (32,33) the author has showed that the DE is best suited for all the newly emerging problems that are related to optimization. In the study (34,35) it was highlighted that the HAS and MHSA suffers from problem of fixed pitch adjustment rate that causes uncertainty resulting in local optimum value and random search directions slows down the convergence towards https://www.indjst.org/ optimum value. The limitations of HAS and MHAS can be overcome using DE by increasing the local search capacity using population multiplicity (36,37) .…”

Section: Related Workmentioning

confidence: 99%

An efficient hybrid model for cluster head selection to optimize wireless sensor network using simulated annealing algorithm

Umashankar¹,

Anitha²,

Mallikarjunaswamy³

2021

IJST

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Objective: Energy efficiency aspect in wireless sensor networks (WSN) can be achieved by small sized rechargeable and easily replaceable batteries. The lifetime of wireless sensor network can be improved by identifying the efficient and reliable nodes as a cluster heads using Hybrid Simulated Annealing algorithm. The proposed algorithm identifies cluster head to reduce overhead and is capable of handling high volume of nodes with minimum node death rate. Methods: This study proposed initialization of population vectors using the opposite point procedure, self-adaptive control approach by node mutation rate, crossover rate, node capacity and cluster head allocation Methods. Findings: A case study in the proposed work is found to be better in throughput, accuracy, efficiency, energy utilization, batteries recharge ability and replacement procedures compared to the conventional methods. By the analysis and comparison of the proposed method with existing methods, it is identified that the reduction of the number of dead nodes gradually increases the throughput and lifetime of the nodes with respect to the number of iterations. Novelty: To overcome the limitations of conventional Low Energy Adaptive Clustering Hierarchy (LEACH), harmony search algorithm (HSA), modified HSA and differential evolution, we propose a hybrid optimal model using simulated annealing algorithm which includes a node capability function. It is used to improve the network lifetime of the cluster heads and sensor nodes. The proposed method have capability of batteries recharge ability and replacement option to improve network throughput and reliability of network.

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Mobility based network lifetime in wireless sensor networks: A review

Cited by 61 publications

References 186 publications

Energy-Aware System Design for Autonomous Wireless Sensor Nodes: A Comprehensive Review

Energy-Aware System Design for Autonomous Wireless Sensor Nodes: A Comprehensive Review

Hybrid Path Planning for Efficient Data Collection in UAV-Aided WSNs for Emergency Applications

An efficient hybrid model for cluster head selection to optimize wireless sensor network using simulated annealing algorithm

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