Energy-efficient BS switching-off and cell topology management for macro/femto environments

Wireless Sensor Networks (WSNs) are generally believed to be homogeneous, but some sensor nodes of higher energy can be used to prolong the lifetime and reliability of WSNs. This gives birth to the concept of Heterogeneous Wireless Sensor Networks (HWSNs). Clustering is an important technique to prolong the lifetime of WSNs and to reduce energy consumption as well, by topology management and routing. HWSNs are popular in real deployments (Corchado et al., 2010), and have a large area of coverage. In such scenarios, for better connectivity, the need for multilevel clustering protocols arises. In this paper, the authors propose an energy-efficient protocol called heterogeneous multilevel clustering and aggregation (HMCA) for HWSNs. HMCA is simulated and compared with existing multilevel clustering protocol EEMC (Jin et al., 2008) for homogeneous WSN. Simulation results demonstrate that the proposed protocol performs better.

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Transfer Learning for QoS Aware Topology Management in Energy Efficient 5G Cognitive Radio Networks

Proceedings of the 1st International Conference on 5G for Ubiquitous Connectivity ◽

10.4108/icst.5gu.2014.258141 ◽

2014 ◽

Cited By ~ 5

Author(s):

Qiyang Zhao ◽

David Grace

Keyword(s):

Cognitive Radio ◽

Transfer Learning ◽

Cognitive Radio Networks ◽

Energy Efficient ◽

Radio Networks ◽

Topology Management

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Energy Efficiency in IoT based on Sensor Node Deployment Pattern

Recent Advances in Computer Science and Communications ◽

10.2174/2666255814666210920160947 ◽

2021 ◽

Vol 14 ◽

Author(s):

Sunita Gupta ◽

Sakar Gupta

Keyword(s):

Energy Efficiency ◽

Energy Efficient ◽

Life Time ◽

Topology Management ◽

Power Efficient ◽

Node Deployment ◽

Large Size ◽

Energy Conserving ◽

Iot Devices ◽

Energy Latency

: IoT becomes more complicated due to its large size. The existing techniques of Wireless Sensor Networks (WSN) are not useful directly to the IoT. That’s why the using the energy efficient schemes for the IoT is a challenging issue. Due to battery constrained IoT devices, energy efficiency is of greatest importance. This paper gives overview and broad survey on IoT, WSN in IoT, Challenges in IoT and WSN, energy conserving issues and solutions and different Node Deployment patterns. For green IoT, this paper addresses energy competence issues by proposing an energy efficient heuristic for a regular and particular deployment scheme. QC-MCSC heuristic is implemented for Strip Based Deployment Pattern and analyzed in terms of Energy Efficiency and Life Time of a sensor on Energy Latency Density Design Space, a topology management application that is power efficient. QC-MCSC for Strip based deployment pattern and for random deployment pattern are compared.

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An Energy-Efficient Multilevel Clustering Algorithm for Heterogeneous Wireless Sensor Networks

Contemporary Challenges and Solutions for Mobile and Multimedia Technologies ◽

10.4018/978-1-4666-2163-3.ch018 ◽

2012 ◽

pp. 286-305

Author(s):

Surender Soni ◽

Vivek Katiyar ◽

Narottam Chand

Keyword(s):

Wireless Sensor Networks ◽

Sensor Networks ◽

Energy Efficient ◽

Clustering Algorithm ◽

Sensor Nodes ◽

Wireless Sensor ◽

Large Area ◽

Topology Management ◽

Clustering Protocol ◽

Heterogeneous Wireless Sensor Networks

Wireless Sensor Networks (WSNs) are generally believed to be homogeneous, but some sensor nodes of higher energy can be used to prolong the lifetime and reliability of WSNs. This gives birth to the concept of Heterogeneous Wireless Sensor Networks (HWSNs). Clustering is an important technique to prolong the lifetime of WSNs and to reduce energy consumption as well, by topology management and routing. HWSNs are popular in real deployments (Corchado et al., 2010), and have a large area of coverage. In such scenarios, for better connectivity, the need for multilevel clustering protocols arises. In this paper, the authors propose an energy-efficient protocol called heterogeneous multilevel clustering and aggregation (HMCA) for HWSNs. HMCA is simulated and compared with existing multilevel clustering protocol EEMC (Jin et al., 2008) for homogeneous WSN. Simulation results demonstrate that the proposed protocol performs better.

Download Full-text