scholarly journals Optimizations for Energy Efficiency in Software-Defined Wireless Sensor Networks

Sensors ◽  
2020 ◽  
Vol 20 (17) ◽  
pp. 4779
Author(s):  
Sorin Buzura ◽  
Bogdan Iancu ◽  
Vasile Dadarlat ◽  
Adrian Peculea ◽  
Emil Cebuc
Keyword(s):  
Energy Efficiency ◽  
Network Performance ◽  
Wireless Sensor ◽  
Management Approach ◽  
Control Plane ◽  
Data Broadcast ◽  
Data Packets ◽  
Similar Work ◽  
And Performance ◽  
The Individual

Software-defined wireless sensor networking (SDWSN) is an emerging networking architecture which is envisioned to become the main enabler for the internet of things (IoT). In this architecture, the sensors plane is managed by a control plane. With this separation, the network management is facilitated, and performance is improved in dynamic environments. One of the main issues a sensor environment is facing is the limited lifetime of network devices influenced by high levels of energy consumption. The current work proposes a system design which aims to improve the energy efficiency in an SDWSN by combining the concepts of content awareness and adaptive data broadcast. The purpose is to increase the sensors’ lifespan by reducing the number of generated data packets in the resource-constrained sensors plane of the network. The system has a distributed management approach, with content awareness being implemented at the individual programmable sensor level and the adaptive data broadcast being performed in the control plane. Several simulations were run on historical weather and the results show a significant decrease in network traffic. Compared to similar work in this area which focuses on improving energy efficiency with complex algorithms for routing, clustering, or caching, the current proposal employs simple computing procedures on each network device with a high impact on the overall network performance.

scholarly journals Maximization of Lifetime of Wireless Sensor Network with Sensitive Power Dynamic Protocol

2018 ◽  
Vol 7 (3.12) ◽  
pp. 380
Author(s):  
Manish Bhardwaj ◽  
Anil Ahlawat ◽  
Nidhi Bansal
Keyword(s):  
Routing Protocol ◽  
Steering System ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Destination Node ◽  
Power Efficient ◽  
Data Packets ◽  
And Performance ◽  
Energy Balanced Routing ◽  
Power Balancing

A vitality effective protocol configuration is a key testing issue in a network of Wireless Sensor. A portion of the few existing vitality effective protocols plots dependably forward the bundles through the base vitality based ideal course to the sink to limit vitality utilization. It causes a disturbed dispersion of remaining vitality between sensor nodes, which prompts partitioning of the network. The prime objective of this method is to pass the data packets to destination node through the vitality denser range within Sensor Networks Lifetime. The current procedure Energy Balanced Routing Protocol (EBRP) neglects to accomplish Throughput, Delay part, keeping in mind the end goal to enhance the Network Lifetime and Performance so the proficient steering convention is required with the abilities of both the Power Efficient and Power Balancing. To resolve this problem, this manuscript proposed Impediment Sensitive Power Unbiased Dynamic Routing Protocol (ISPUDRP). The proposed steering system accomplishes as far as End-to-End Delay, Throughput and Lifetime of network. This manuscript shows that proposed calculation accomplishes better execution performance than the current strategies.   

scholarly journals Real Time Meteorological Solar Data Based Modified Solar Aware LEACH

2019 ◽  
Vol 8 (12) ◽  
pp. 3860-3868
Keyword(s):  
Energy Consumption ◽  
Real Time ◽  
Network Performance ◽  
Meteorological Data ◽  
Vital Role ◽  
Wireless Sensor ◽  
Dense Network ◽  
Data Throughput ◽  
Improved Performance ◽  
And Performance

In hostile and non-accessible remote area, energy conservation plays vital role in the performance of Wireless Sensor Network (WSN). Shorter life of battery operated sensors tends to lower lifespan of the WSN which further degrades the dense network performance. In this paper, we propose the modified solar aware LEACH for efficient routing in WSN to maximize the network lifespan. This proposed scheme uses real time solar meteorological data for the implementation of solar aware LEACH (sLEACH), advance solar aware LEACH (AsLEACH), improved solar aware LEACH (IS-LEACH).The proposed algorithm is simulated using MATLAB and performance is evaluated on the basis of data throughput, energy consumption and network lifetime which show improved performance than existing techniques.

scholarly journals A Novel Adjacent Sensors-Based Mechanism to Increase Performance of Wireless Sensor Networks

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Mohammed Al-Shalabi ◽  
Jafar Ababneh ◽  
Waled Abdulraheem
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Network Performance ◽  
Environmental Parameters ◽  
Base Station ◽  
Decision Makers ◽  
Wireless Sensor ◽  
Adaptive Clustering ◽  
Leach Protocol ◽  
And Performance

Wireless Sensor Networks are widely used nowadays to support the decision-makers in different applications by monitoring and collecting the environmental parameters in specific areas. Sensors are deployed in such areas either randomly or formally. In a high-density Wireless Sensor Network, several sensors are randomly deployed in a small area. This will make the adjacent sensors collect same data and send them to the sink, which will increase the power consumption in those sensors. Adjacent sensors are considered critical because of their effect on the network performance. In this paper, the effect of the adjacent sensors is minimized because of the above-mentioned criticality and performance influence of these sensors. The proposed mechanism is evaluated by using MATLAB simulator and is then compared with the low-energy adaptive clustering hierarchy (LEACH) protocol. Results prove that the proposed mechanism outperforms the LEACH protocol by 21% in terms of the network lifetime and by 18% in terms of the number of the transmitted packets to the cluster heads and reduces the number of the transmitted packets to the base station by approximately 3% by avoiding the duplicated packets.

scholarly journals A Sequence Number Prediction Based Bait Detection Scheme to Mitigate Sequence Number Attacks in MANETs

2018 ◽  
Vol 2018 ◽  
pp. 1-13
Author(s):  
Rutvij H. Jhaveri ◽  
Aneri Desai ◽  
Ankit Patel ◽  
Yubin Zhong
Keyword(s):  
Network Performance ◽  
Ad Hoc ◽  
Secure Routing ◽  
Detection Mechanism ◽  
Neighboring Node ◽  
Detection Scheme ◽  
Data Packets ◽  
Sequence Number ◽  
Aodv Protocol ◽  
And Performance

The characteristics of MANET such as decentralized architecture, dynamic topologies make MANETs susceptible to various security attacks. Sequence number attacks are such type of security threats which tend to degrade the network functioning and performance by sending fabricated route reply packets (RREP) with the objective of getting involved in the route and drop some or all of the data packets during the data transmission phase. The sequence number adversary attempts to send a fabricated high destination number in the RREP packet which attracts the sender to establish a path through the adversary node. This paper proposes a proactive secure routing mechanism which is an improvement over the authors previously proposed scheme. It makes use of linear regression mechanism to predict the maximum destination sequence number that the neighboring node can insert in the RREP packet. As an additional security checkpoint, it uses a bait detection mechanism to establish confidence in marking a suspicious node as a malicious node. The proposed approach works in collaboration with the ad hoc on-demand distance vector routing (AODV) protocol. The simulation results depict that the approach improves the network performance in the presence of adversaries as compared to previously proposed scheme.

scholarly journals S-CDCA: a semi-cluster directive-congestion protocol for priority-based data in WSNs

2021 ◽  
Vol 23 (1) ◽  
pp. 438
Author(s):  
Marwan Ihsan Shukur
Keyword(s):  
Sensor Networks ◽  
Network Performance ◽  
Great Part ◽  
Base Station ◽  
Wireless Sensor ◽  
Habitat Monitoring ◽  
Data Packets ◽  
Data Source ◽  
And Control ◽  
Network Interfaces

The internet of things (IoT) protocols and regulations are being developed forvarious applications includes: habitat monitoring, machinery control, general health-care, smart-homes and more. A great part of I0T comprised of sensors nodes in connected networks (i.e. sensor networks.). A sensor network is a group of nodes with sensory module and computational elements connected through network interfaces. The most interesting type of sensor networks are wireless sensor networks. The nodes here are connected through wirless interfaces. The shared medium between these nodes, creates different challenges. Congestion in such network is ineavitable. Different models andmethods were proposed to alleviate congestion in wireless sensor networks.This paper presents a semi-cluster directive congestion method that allivatenetwork congestion forpriority-baseddata transmission. The method simprove the network performance by implementing temporary cluster forlow level priority data packets while providing a clear link between highpriority data source node and the network base station. Simulation resultsshow that. The proposed method outperformes ad hocOn-demand distance vector (AODV) reactive procotol approach and priority-based congestion control dynamic clustering (PCCDC) a cluster-based methodin network energy consumption and control packets overhead during network operation.The proposed method also shows comparative improvments in end-to-enddelays versus PCCDC.

The Evolution of Organizational Development Towards a Positive Approach

2020 ◽  
pp. 1-20
Author(s):  
Öznur Gülen Ertosun
Keyword(s):  
Organizational Development ◽  
Individual Development ◽  
Management Approach ◽  
Management Problem ◽  
New Work ◽  
Cultural Changes ◽  
Positive Approach ◽  
Life Conditions ◽  
And Performance ◽  
The Individual

Organizations should be able to cope with uncertainty and also adapt to technological, economic, political, and cultural changes in order to maintain their existence and to provide negative entropy. The main reason for organizational development is to help organizations respond to the new work life conditions. From a classical management approach to today's positive organization approach, numerous studies indicate that organizational development that ensures managers and employees perform their tasks more effectively is not an option; rather, it is a necessity for organizations. Organizational development predominantly provides the necessary atmosphere for conflict management, problem solving, and effective communication. Organizational development provides for anticipation of the organization and effective adaptation. This also makes organizational success possible by increasing the individual development and performance of employees.

scholarly journals SSE Path Routing Protocol for WSN IOT Using Fuzzy Mean Weighted Code and Enthalpy ANN-GOA

2021 ◽  
Author(s):  
Poonam Rani ◽  
Avinash Sharma
Keyword(s):  
Routing Protocol ◽  
Network Performance ◽  
Clustering Algorithm ◽  
Network Routing ◽  
Wireless Sensor ◽  
Energy Efficient Routing ◽  
Data Packets ◽  
Starting Point ◽  
Grasshopper Optimization Algorithm ◽  
Fuzzy Mean

Abstract Wireless Sensor Networks (WSNs) play a key role in the Internet of Things (IoT) by delivering cost-effective solutions for specific IoT applications. The amount of energy used to transport data from a sensor node to its destination is a significant consideration when developing wireless sensor network routing strategies. A variety of routing protocols are utilised in WSN to improve network performance. When a node's mode transitions from active to sleep, the efficiency declines because data packets must wait at the starting point where they were transmitted, which increases packets' waiting time and end-to-end latency, resulting in an increase in energy consumption. This study proposes the SSE Path routing protocol as a Scalable, Secure, and Energy Efficient Routing Protocol for WSN IoT. Our proposed protocol, first selecting the nodes using a single-hop clustering algorithm. Second, FMWC (Fuzzy Mean Weighted Code) based packet coded operation for the security of packet. Finally, Scalable Enthalpy Artificial Neural-Network Based Grasshopper Optimization Algorithm (EANN-GOA) algorithm for selecting the congestion-free path for transit the data packets. The experimental results revelations the dominance of presented protocol comparing with the existing protocols.

scholarly journals An Energy Efficient Data Transfer Mechanism for Wireless Sensor Network

2013 ◽  
Vol 6 (3) ◽  
pp. 359-369
Author(s):  
Partha Pratim Bhattacharya ◽  
Jyoti Saraswat
Keyword(s):  
Energy Efficiency ◽  
Energy Efficient ◽  
Data Transfer ◽  
Wireless Sensor ◽  
Delivery Ratio ◽  
Level Energy ◽  
Data Packets ◽  
Traffic Pattern ◽  
Efficient Data ◽  
Correlated Information

Wireless Sensor Networks (WSNs) are generally energy and resource constrained. In most WSN applications the traffic pattern is from sensor-to-sink and for effective utilization of available resources in network data aggregation is employed. If a data packet is lost due to node failure or collision the correlated information content by data packets is lost. Existing protocols that provide reliable data transfer for sensor-to-sink traffic are either not energy efficient or they provide reliability at the event level. Energy efficiency can be improved by employing proper duty cycle values. By extending the concept of monitors the proposed protocol provides packet level reliability and improves the energy efficiency by employing duty cycles. To further decrease the energy consumption only a subset of nodes is chosen as active nodes to transfer the data. The performance of the proposed protocol is evaluated using Matlab. Results show that protocol has significant improvement in terms of energy saving, throughput and packet delivery ratio.

scholarly journals SUBBASE: An Authentication Scheme for Wireless Sensor Networks Based on User Biometrics

2019 ◽  
Vol 2019 ◽  
pp. 1-11 ◽  
Author(s):  
Rabia Riaz ◽  
Noor-ul-Ain Gillani ◽  
SanamShahla Rizvi ◽  
Sana Shokat ◽  
Se Jin Kwon
Keyword(s):  
Network Performance ◽  
User Authentication ◽  
Access Network ◽  
Authentication Scheme ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Battery Life ◽  
Security Level ◽  
Dos Attacks ◽  
And Performance

To keep a network secure, a user authentication scheme that allows only authenticated users to access network services is required. However, the limited resources of sensor nodes make providing authentication a challenging task. We therefore propose a new method of security for a wireless sensor network (WSN). Our technique, Secure User Biometric Based Authentication Scheme (SUBBASe), is based on the user biometrics for WSNs. It achieves a higher security level as well as improved network performance. This solution consists of easy operations and light computations. Herein, the proposed technique is evaluated and compared with previous existing techniques. This scheme increases the performance of the network by reducing network traffic, defending against DOS attacks, and increasing the battery life of a node. Consequently, the functionality and performance of the entire network is improved.

scholarly journals Void-hole aware and reliable data forwarding strategy for underwater wireless sensor networks

2021 ◽  
Vol 30 (1) ◽  
pp. 564-577
Author(s):  
Omar Adil Mahdi ◽  
Ahmed Basil Ghazi ◽  
Yusor Rafid Bahar Al-Mayouf
Keyword(s):  
Energy Efficiency ◽  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Reliable Data ◽  
Wireless Sensor ◽  
Sink Node ◽  
Underwater Wireless Sensor Networks ◽  
Data Forwarding ◽  
Data Packets ◽  
Forwarding Strategy

Abstract Reliable data transfer and energy efficiency are the essential considerations for network performance in resource-constrained underwater environments. One of the efficient approaches for data routing in underwater wireless sensor networks (UWSNs) is clustering, in which the data packets are transferred from sensor nodes to the cluster head (CH). Data packets are then forwarded to a sink node in a single or multiple hops manners, which can possibly increase energy depletion of the CH as compared to other nodes. While several mechanisms have been proposed for cluster formation and CH selection to ensure efficient delivery of data packets, less attention has been given to massive data communication processes with sink node. As such, failure in communicating nodes would lead to a significant network void-holes problem. Considering the limited energy resources of nodes in UWSNs along with the heavy load of CHs in the routing process, this paper proposes a void-holes aware and reliable data forwarding strategy (VHARD-FS) in a proactive mode to control data packets delivery from CH nodes to the sink in UWSNs. In the proposed strategy, each CH node is aware of its neighbor’s performance ranking index to conduct a reliable packet transmission to the sink via the most energy-efficient route. Extensive simulation results indicate that the VHARD-FS outperforms existing routing approaches while comparing energy efficiency and network throughput. This study helps to effectively alleviate the resource limitations associated with UWSNs by extending network life and increasing service availability even in a harsh underwater environment.

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