scholarly journals Energy Efficient Software Defined Networking Algorithm for Wireless Sensor Networks

2019 ◽  
Vol 40 ◽  
pp. 1481-1488 ◽  
Author(s):  
Mohsin Masood ◽  
Mohamed Mostafa Fouad ◽  
Saleh Seyedzadeh ◽  
Ivan Glesk
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Energy Efficient ◽  
Software Defined Networking ◽  
Wireless Sensor ◽  
Efficient Software

scholarly journals Design of multi-energy-space-based energy-efficient algorithm in novel software-defined wireless sensor networks

2017 ◽  
Vol 13 (7) ◽  
pp. 155014771771811 ◽  
Author(s):  
Liao Wenxing ◽  
Wu Muqing ◽  
Wu Yuewei
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Efficient Algorithm ◽  
Energy Efficient ◽  
Main Idea ◽  
Software Defined Networking ◽  
Efficient Algorithms ◽  
Energy Space ◽  
Wireless Sensor

Energy efficiency has always been a hot issue in wireless sensor networks. A lot of energy-efficient algorithms have been proposed to reduce energy consumption in traditional wireless sensor networks. With the emergence of software-defined networking, researchers have demonstrated the feasibility of software-defined networking over traditional wireless sensor networks. Thus, energy-efficient algorithms in software-defined wireless sensor networks have been studied. In this article, we propose an energy-efficient algorithm based on multi-energy-space in software-defined wireless sensor networks. First, we propose a novel architecture of software-defined wireless sensor networks according to current research on software-defined wireless sensor networks. Then, we introduce the concept of multi-energy-space which is based on the residual energy. Based on the novel architecture of software-defined wireless sensor networks and the concept of multi-energy-space, we give a detailed introduction of the main idea of our multi-energy-space-based energy-efficient algorithm. Simulation results show that our proposed algorithm performs better in energy consumption balance and network lifetime extension compared with the typical energy-efficient algorithms in traditional wireless sensor networks.

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.

A New Energy-Efficient Hybrid and Clustering Routing for Wireless Sensor Networks

2017 ◽  
Vol 7 (3) ◽  
pp. 176
Author(s):  
Muneer Bani Yassein ◽  
Yaser Khamayseh ◽  
Ismail Hmeidi ◽  
Ahmed Al-Dubai ◽  
Mohammed Al-Maolegi
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Energy Efficient ◽  
Wireless Sensor ◽  
New Energy

Performance Analysis of TBC-ACO Routing Protocol with Existing Routing Protocols of Wireless Sensor Networks

2017 ◽  
Vol 7 (8) ◽  
pp. 169
Author(s):  
A. Radhika ◽  
D. Haritha
Keyword(s):  
Energy Efficiency ◽  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Swarm Intelligence ◽  
Routing Protocol ◽  
Routing Protocols ◽  
Energy Efficient ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Congestion Aware

Wireless Sensor Networks, have witnessed significant amount of improvement in research across various areas like Routing, Security, Localization, Deployment and above all Energy Efficiency. Congestion is a problem of  importance in resource constrained Wireless Sensor Networks, especially for large networks, where the traffic loads exceed the available capacity of the resources . Sensor nodes are prone to failure and the misbehaviour of these faulty nodes creates further congestion. The resulting effect is a degradation in network performance, additional computation and increased energy consumption, which in turn decreases network lifetime. Hence, the data packet routing algorithm should consider congestion as one of the parameters, in addition to the role of the faulty nodes and not merely energy efficient protocols .Nowadays, the main central point of attraction is the concept of Swarm Intelligence based techniques integration in WSN.  Swarm Intelligence based Computational Swarm Intelligence Techniques have improvised WSN in terms of efficiency, Performance, robustness and scalability. The main objective of this research paper is to propose congestion aware , energy efficient, routing approach that utilizes Ant Colony Optimization, in which faulty nodes are isolated by means of the concept of trust further we compare the performance of various existing routing protocols like AODV, DSDV and DSR routing protocols, ACO Based Routing Protocol  with Trust Based Congestion aware ACO Based Routing in terms of End to End Delay, Packet Delivery Rate, Routing Overhead, Throughput and Energy Efficiency. Simulation based results and data analysis shows that overall TBC-ACO is 150% more efficient in terms of overall performance as compared to other existing routing protocols for Wireless Sensor Networks.

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