scholarly journals Energy Management in Wireless Sensor Networks for Internet of Things Applications

2019 ◽  
Vol 3 (2) ◽  
pp. 48-52
Author(s):  
Reem Jafar Ismail ◽  
Samar Jaafar Ismae ◽  
Wisam H. Ali
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Internet Of Things ◽  
Energy Management ◽  
System Performance ◽  
Routing Algorithm ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Efficient Energy ◽  
Long Life

Internet of things (IoT) aims to develop a smart world based on sensing environment. The energy management of wireless sensor networks (WSNs) is a big challenge in IoT since sensor nodes have limited energy and they need to have long life for collecting data and information. The aim of this paper is to propose an efficient energy routing algorithm in WSN and infrastructure based on construction an adaptive energy map of sensor nodes. The results show improvement in overall system performance and lifetime of WSN compared to traditional scenario.

scholarly journals Lifetime enhancement in wireless sensor networks using binary search tree based data aggregation

2018 ◽  
Vol 16 (6) ◽  
Author(s):  
Gopikrishnan S. ◽  
Priakanth P.
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Total Energy ◽  
Data Aggregation ◽  
Routing Algorithm ◽  
Search Tree ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Binary Search Tree ◽  
Total Energy Consumption

Energy efficient data aggregation is a key solution to enhance the lifetime of wireless sensor networks since sensor nodes are battery-powered and deployed in remote environments. This article explore a two-hop data aggregation tree construction algorithm using binary search tree to reduce the total energy consumption of sensor nodes in wireless sensor networks. An adaptive and hybrid routing algorithm for simultaneous data aggregation and exploit the data correlation between nodes using the two-hop data aggregation tree framework is proposed. Routes are chosen based on the shortest response time for the broadcasting request to minimize the total energy expended by the network. This paper also proposes a high secure asymmetric key cryptography algorithm to provide the secure data communication among the network. The data aggregation function that is used in the proposed routing algorithm enhances the lifetime of sensor network by resolving the delay, collision and security issues. Simulations results show that the binary tree based data aggregation can appreciably reduces the total energy consumption and resolves the maximum data aggregation issues in wireless sensor network.  

An Opportunistic Large Array Concentric Geographic Routing Algorithm with a Relay Node in Wireless Sensor Networks

2015 ◽  
Vol 764-765 ◽  
pp. 838-842
Author(s):  
Young Long Chen ◽  
Yung Chi Chang ◽  
Yu Ling Zeng
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Routing Algorithm ◽  
Geographic Routing ◽  
Sensor Nodes ◽  
Source Node ◽  
Wireless Sensor ◽  
Sink Node ◽  
Large Array

Wireless sensor networks (WSNs) are a group of wireless sensor nodes, those sensor nodes with sensing and monitoring of environmental information. Energy consumption is an important topic; the node's power is limited. Therefore, we proposed an Opportunistic Large Array Concentric Geographic Routing Algorithm (OLACGRA) to reduce the node’s energy consumption and analysis the characteristic of energy model. The sink position of our proposed OLACGRA is at the center of concentric topology architecture. The source node wants to transmit data that it needs to calculate the distance between source node and sink node. If this distance bigger than threshold value, we use the multi-hop manner. Otherwise, source node transmits data to sink node directly. Simulation results show that our proposed algorithm can effectively reduce the node’s energy consumption.

scholarly journals Prolonging the Lifetime of Wireless Sensor Networks: A Review of Current Techniques

2018 ◽  
Vol 2018 ◽  
pp. 1-23 ◽  
Author(s):  
Felicia Engmann ◽  
Ferdinand Apietu Katsriku ◽  
Jamal-Deen Abdulai ◽  
Kofi Sarpong Adu-Manu ◽  
Frank Kataka Banaseka
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Energy Management ◽  
Research Work ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Future Research ◽  
Primary Means ◽  
Management Schemes ◽  
Management Techniques

There has been an increase in research interest in wireless sensor networks (WSNs) as a result of the potential for their widespread use in many different areas like home automation, security, environmental monitoring, and many more. Despite the successes gained, the widespread adoption of WSNs particularly in remote and inaccessible places where their use is most beneficial is hampered by the major challenge of limited energy, being in most instances battery powered. To prolong the lifetime for these energy hungry sensor nodes, energy management schemes have been proposed in the literature to keep the sensor nodes alive making the network more operational and efficient. Currently, emphasis has been placed on energy harvesting, energy transfer, and energy conservation methods as the primary means of maintaining the network lifetime. These energy management techniques are designed to balance the energy in the overall network. The current review presents the state of the art in the energy management schemes, the remaining challenges, and the open issues for future research work.

Connectivity Estimation Approaches for Internet of Things-Enabled Wireless Sensor Networks

2022 ◽  
pp. 104-122
Author(s):  
Zuleyha Akusta Dagdeviren ◽  
Vahid Akram
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Internet Of Things ◽  
Exact Algorithms ◽  
Estimation Problem ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Estimation Algorithms ◽  
Communication Layer ◽  
Main Ideas

Internet of things (IoT) envisions a network of billions of devices having various hardware and software capabilities communicating through internet infrastructure to achieve common goals. Wireless sensor networks (WSNs) having hundreds or even thousands of sensor nodes are positioned at the communication layer of IoT. In this study, the authors work on the connectivity estimation approaches for IoT-enabled WSNs. They describe the main ideas and explain the operations of connectivity estimation algorithms in this chapter. They categorize the studied algorithms into two divisions as 1-connectivity estimation algorithms (special case for k=1) and k-connectivity estimation algorithms (the generalized version of the connectivity estimation problem). Within the scope of 1-connectivity estimation algorithms, they dissect the exact algorithms for bridge and cut vertex detection. They investigate various algorithmic ideas for k connectivity estimation approaches by illustrating their operations on sample networks. They also discuss possible future studies related to the connectivity estimation problem in IoT.

An Energy-Efficient Layered Clustering Algorithm for Routing in Wireless Sensor Networks

2020 ◽  
pp. 238-262
Author(s):  
P. J. A. Alphonse ◽  
C. Sivaraj ◽  
T. N. Janakiraman
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Energy Conservation ◽  
Energy Management ◽  
Energy Efficient ◽  
Clustering Algorithm ◽  
Transmission Rate ◽  
Clustering Algorithms ◽  
Sensor Nodes ◽  
Wireless Sensor

Efficient energy management is a key issue in battery equipped wireless sensor networks (WSNs). The cluster based routing in WSNs is a prominent approach for energy conservation of the network which provides a hierarchical data collection mechanism. In order to maximize the energy conservation of sensor nodes, this paper proposes an Energy-efficient Layered Clustering Algorithm (ELCA) for routing in wireless sensor networks. ELCA constructs two layers of clusters to reduce the transmission rate and to balance the energy consumption of sensors. As early energy depletion of clusterheads (CHs) is a major limitation in clustering, this algorithm provides local remedy for energy suffering CHs through efficient CH substitution scheme. The performance of the proposed algorithm is analysed through extensive simulation experiments and verified by compared results with existing clustering algorithms.

An Energy Efficient Routing Protocol Based On New Variable Data Packet (VDP) Algorithm for Wireless Sensor Networks

2020 ◽  
Vol 13 (3) ◽  
pp. 353-361
Author(s):  
Veervrat Singh Chandrawanshi ◽  
Rajiv Kumar Tripathi ◽  
Rahul Pachauri ◽  
Nafis Uddin Khan
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Routing Algorithm ◽  
Base Station ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Energy Aware ◽  
Energy Efficient Routing ◽  
Data Packets ◽  
Variable Data

Background:Wireless Sensor Networks (WSNs) refer to a group of sensors used for sensing and monitoring the physical data of the environment and organizing the collected data at a central location. These networks enjoy several benefits because of their lower cost, smaller size and smarter sensors. However, a limited source of energy and lifetime of the sensors have emerged as the major setbacks for these networks.Methods:In this work, an energy-aware algorithm has been proposed for the transmission of variable data packets from sensor nodes to the base station according to the balanced energy consumption by all the nodes of a WSN.Results:Obtained simulation results verify that the lifetime of the sensor network is significantly enhanced in comparison to other existing clustering based routing algorithm.Conclusion:The proposed algorithm is comparatively easy to implement and achieves a higher gain in the lifetime of a WSN while keeping the throughput nearly same as LEACH protocol.

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