CG-E2S2: Consistency-guaranteed and energy-efficient sleep scheduling algorithm with data aggregation for IoT

2019 ◽  
Vol 92 ◽  
pp. 1093-1102 ◽  
Author(s):  
Haneul Ko ◽  
Jaewook Lee ◽  
Sangheon Pack
Keyword(s):  
Data Aggregation ◽  
Energy Efficient ◽  
Scheduling Algorithm ◽  
Sleep Scheduling

An energy-efficient SDN based sleep scheduling algorithm for WSNs

2016 ◽  
Vol 59 ◽  
pp. 39-45 ◽  
Author(s):  
Yanwen Wang ◽  
Hainan Chen ◽  
Xiaoling Wu ◽  
Lei Shu
Keyword(s):  
Energy Efficient ◽  
Scheduling Algorithm ◽  
Sleep Scheduling

Software-Defined Networking Paradigm in Wireless Sensor Networks

2018 ◽  
pp. 254-267
Author(s):  
Govind P. Gupta
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Energy Efficient ◽  
Scheduling Algorithm ◽  
Software Defined Networking ◽  
Efficient Solutions ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Sleep Scheduling ◽  
Topology Management

Software-defined networking (SDN) is an emerging network design and management paradigm that offers a flexible way for reducing the complexity of the network management and configuration. SDN-based wireless sensor networks (SDWSNs) consist of a set of software-defined sensor nodes equipped with different types of sensors. In SDWSN, sensor node is able to conduct different sensing tasks according to the programs injected into it and functionalities of these nodes can also be dynamically configured by injecting different application-specific programs. SDWSNs adopt the characteristics of SDN and can provide energy efficient solutions for various problems such as topology management, sleep scheduling, routing, and localization, etc. This chapter discusses how to apply SDN model in the design of an energy-efficient protocol for wireless sensor networks and also presents an overview of SDN model proposed for wireless sensor networks and SDN-based resource management, routing, sleep scheduling algorithm, localization for SDWSNs. Finally, open research challenges are summarized.

Energy efficient fixed-cluster architecture for wireless sensor networks

2021 ◽  
Vol 40 (5) ◽  
pp. 8727-8740
Author(s):  
Rajvir Singh ◽  
C. Rama Krishna ◽  
Rajnish Sharma ◽  
Renu Vig
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Data Aggregation ◽  
Energy Efficient ◽  
Search Algorithm ◽  
Cluster Formation ◽  
Wireless Sensor ◽  
Efficient Operation ◽  
Cluster Architecture ◽  
Dynamic Cluster

Dynamic and frequent re-clustering of nodes along with data aggregation is used to achieve energy-efficient operation in wireless sensor networks. But dynamic cluster formation supports data aggregation only when clusters can be formed using any set of nodes that lie in close proximity to each other. Frequent re-clustering makes network management difficult and adversely affects the use of energy efficient TDMA-based scheduling for data collection within the clusters. To circumvent these issues, a centralized Fixed-Cluster Architecture (FCA) has been proposed in this paper. The proposed scheme leads to a simplified network implementation for smart spaces where it makes more sense to aggregate data that belongs to a cluster of sensors located within the confines of a designated area. A comparative study is done with dynamic clusters formed with a distributive Low Energy Adaptive Clustering Hierarchy (LEACH) and a centralized Harmonic Search Algorithm (HSA). Using uniform cluster size for FCA, the results show that it utilizes the available energy efficiently by providing stability period values that are 56% and 41% more as compared to LEACH and HSA respectively.

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