A Survey on Topology Control in Wireless Sensor Networks: Taxonomy, Comparative Study, and Open Issues

Li, Zhenjiang; Vasilakos, Athanasios V.

doi:10.1109/jproc.2013.2257631

Cited by 311 publications

(160 citation statements)

References 87 publications

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“…The major challenge for these algorithms is how to achieve this energy conservation without sacrificing the important network's characteristics such as connectivity and sensing coverage [25]. It is worth pointing out, TC algorithms categories are not unique as some algorithms can be classified into different categories.…”

Section: Topology Control Algorithmmentioning

confidence: 99%

Vortex Search Topology Control Algorithm for Wireless Sensor Networks

Houssein¹,

Wazery²

2017

IJIES

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Abstract:Wireless sensor networks (WSNs) is composed of a huge number of sensor nodes that are densely deployed in a target environment. One of the major fundamental challenges in WSNs is the Topology control (TC). TC algorithms try to reduction the average of nodes transition radius without reduction of the network connectivity. This paper has proposed a metaheuristic algorithm for TC based on the vortex search (VS) algorithm for WSNs termed VSTC. VSTC algorithm dynamically adjusts transition radius of nodes, so the proper transition radius can be obtained using VS algorithm, so the position of each node is to calculate and represented in a binary format to enhance the coverage area and reduce the number of active nodes. Furthermore, the proposed algorithm is under a less average number of neighbours and the energy consumption compared with the present algorithms. In addition, the proposed algorithm is simulated with the A1 topology algorithm (A1), A3 topology algorithm (A3), and topology control scheme based on particle swarm optimization algorithm (PSOTCS) algorithm, the experimental results have been provided the highest in terms of the high residual energy by 34% and the number of active nodes was decreased by 18%.

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Section: Topology Control Algorithmmentioning

confidence: 99%

Vortex Search Topology Control Algorithm for Wireless Sensor Networks

Houssein¹,

Wazery²

2017

IJIES

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“…The early stage investigations on smart home mainly focus on context acquisition and distribution with the novel sensing techniques and wireless network solutions for proof of concept development, such as indoor environment monitoring [9], wireless smart home sensor network [10], WSN topology control for network coverage and connectivity [11], WSAN for production automation [12], interoperable device usage [13,14], graphic user interface for remote control [15], network protocols and standards [16], trust and security [17], and service oriented smart home architecture [18]. With the advance of relevant techniques, more and more research work transfers to high-level smart home applications and the models and methods considering how to facilitate occupants' daily lives, such as RADL (Recognizing Activities of Daily Living) [19], elderly care [20], medical care [21,22], realtime energy consumption load forecasting [23], and sustainable homes [7].…”

Section: Related Workmentioning

confidence: 99%

A Rule-based Service Customization Strategy for Smart Home Context-Aware Automation

Meng

2016

IEEE Trans. on Mobile Comput.

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Abstract-The continuous technical progress of the smartphone built-in modules and embedded sensing techniques has created chances for context-aware automation and decision support in home environments. Studies in this area mainly focus on feasibility demonstrations of the emerging techniques and system architecture design that are applicable to the different use cases. It lacks service customization strategies tailoring the computing service to proactively satisfy users' expectations. This investigation aims to chart the challenges to take advantage of the dynamic varying context information, and provide solutions to customize the computing service to the contextual situations. This work presents a rule-based service customization strategy which employs a semantic distance-based rule matching method for context-aware service decision making and a Rough Set Theory-based rule generation method to supervise the service customization. The simulation study reveals the trend of the algorithms in time complexity with the number of rules and context items. A prototype smart home system is implemented based on smartphones and commercially available low-cost sensors and embedded electronics. Results demonstrate the feasibility of the proposed strategy in handling the heterogeneous context for decision making and dealing with history context to discover the underlying rules. It shows great potential in employing the proposed strategy for context-aware automation and decision support in smart home applications.

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“…[7,8]. However, building energy-efficient hardware has not yet gained much interest from the research community.…”

Section: Introductionmentioning

confidence: 99%

Energy Efficient Hardware and Improved Cluster-Tree Topology for Lifetime Prolongation in ZigBee Sensor Networks

Ouadou

Zytoune

Hillali

et al. 2017

JSAN

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Abstract:In wireless sensor networks, building energy-efficient systems is one of the major challenges. In such networks, nodes are usually supplied by low power and small batteries. Many factors are involved in the energy consumption, and this issue may be considered as a cross-layer problem, from the hardware architecture to the application layer. This paper aims at presenting a hybrid solution for sensor networks based on two main aspects. The first one is the hardware architecture, where we present a prototype of a sensor node we designed. This node proved its efficiency in terms of energy consumption. The second aspect is related to the topology construction and presents a new topology control algorithm based on graph computing. Thus, our system consists of a real indoor application for temperature and humidity monitoring, applicable to home automation or industrial monitoring. We performed the experiments using a set of sensor nodes deployed over a building and proved the efficiency of the system in terms of energy consumption, network lifetime and data delivery.

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A Survey on Topology Control in Wireless Sensor Networks: Taxonomy, Comparative Study, and Open Issues

Cited by 311 publications

References 87 publications

Vortex Search Topology Control Algorithm for Wireless Sensor Networks

Vortex Search Topology Control Algorithm for Wireless Sensor Networks

A Rule-based Service Customization Strategy for Smart Home Context-Aware Automation

Energy Efficient Hardware and Improved Cluster-Tree Topology for Lifetime Prolongation in ZigBee Sensor Networks

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