E±cient and Dynamic Clustering Scheme for Heterogeneous Multi-level Wireless Sensor Networks

Zhou, Hong; Yu, Li; Zhang, Guijun

doi:10.3724/sp.j.1004.2013.00454

Cited by 2 publications

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“…Meanwhile, the total number of nodes within ring k is N k . Then, the optimal number of cluster heads (16) within ring k, m ko , is…”

Section: Derivation Of Ochn Based On Ring Energy Optimizationmentioning

confidence: 99%

Optimal Routing Strategy of Wireless Sensor Network for Prolonging Lifetime

2017

Sensors and Materials

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For performance optimization of a large-scale wireless sensor network (WSN), we developed a new WSN called the WSN with optimal cluster head number (OCHN) and adaptive energy routing strategy (AERS) based on sensor distribution (SD) design, which is referred to as WSNOA. There were three strategies for WSNOA construction. First, a four-ring network model, a heterogeneous energy model of the sensor node, and an energy consumption model of data transmission were designed. Second, the OCHN calculation method was derived on the basis of the energy consumption of each ring and the minimum for the four rings of the WSNOA when sensors were distributed uniformly. Third, the AERS was designed to avoid the non-adaptive energy consumption problem. Compared with the three traditional WSNs, namely, low-energy adaptive clustering hierarchy algorithm (LEACH), stable election protocol (SEP), and ring-based multi-hop clustering routing algorithm (RBMC), the WSNOA was experimentally proved to prolong the WSN lifetime by 25.6% compared with RBMC and to increase the received data packet quantities by 2.2, 39.4, and 41.5% for the sink node compared with the RBMC, SEP, and LEACH, respectively. In addition, the WSNOA was more suitable for the relatively large-scale WSN, especially if the WSN radius is more than 240 m.

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“…Meanwhile, the total number of nodes within ring k is N k . Then, the optimal number of cluster heads (16) within ring k, m ko , is…”

Section: Derivation Of Ochn Based On Ring Energy Optimizationmentioning

confidence: 99%

Optimal Routing Strategy of Wireless Sensor Network for Prolonging Lifetime

2017

Sensors and Materials

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A Topology Control with Energy Balance in Underwater Wireless Sensor Networks for IoT-Based Application

Zhou

Pan

Chen³

et al. 2018

Sensors

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As part of the IoT-based application, underwater wireless sensor networks (UWSN), which are typically self-organized heterogeneous wireless network, are one of the research hot-spots using various sensors in marine exploration and water environment monitoring application fields, recently. Due to the serious attenuation of radio in water, acoustic or hybrid communication is a usual way for transmitting information among nodes, which dissipates much more energy to prevent the network failure and guarantee the quality of service (QoS). To address this issue, a topology control with energy balance, namely TCEB, is proposed for UWSN to overcome time-delay and other interference, as well as make the entire network load balance. With the given underwater network model and its specialized energy consumption model, we introduce the non-cooperative-game-based scheme to select the nodes with better performance as the cluster-heads. Afterwards, the intra-cluster and inter-cluster topology construction are, respectively, to form the effective communication links of the intra-cluster and inter-cluster, which aim to build energy-efficient topology to reduce energy consumption. With the demonstration of the simulation, the results show the proposed TCEB has better performance on energy-efficiency and throughput than three other representative algorithms in complex underwater environments.

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E±cient and Dynamic Clustering Scheme for Heterogeneous Multi-level Wireless Sensor Networks

Cited by 2 publications

References 0 publications

Optimal Routing Strategy of Wireless Sensor Network for Prolonging Lifetime

Optimal Routing Strategy of Wireless Sensor Network for Prolonging Lifetime

A Topology Control with Energy Balance in Underwater Wireless Sensor Networks for IoT-Based Application

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