scholarly journals An Integrated Signal Allocation Model with Effective Collision Resolution Model for Performance Enhancement of Wireless Sensor Networks

2021 ◽  
Vol 38 (5) ◽  
pp. 1369-1375
Author(s):  
Aswani Lalitha ◽  
Gangireddy Harinatha Reddy
Keyword(s):  
Sensor Network ◽  
Orthogonal Frequency Division Multiplexing ◽  
Performance Enhancement ◽  
Wireless Sensor ◽  
Collision Resolution ◽  
Allocation Model ◽  
Available Bandwidth ◽  
Positioning Systems ◽  
Resolution Model ◽  
Effective Collision

A Wireless Sensor Network (WSN) differs from conventional wireless or wired networks in that it interacts with the environment. Orthogonal Frequency Division Multiplexing (OFDM) was investigated as a possible interface technology for making effective use of bandwidth. Such networks have been proposed for a variety of purposes such as search and rescue, disaster assistance, and smart positioning systems. These applications often require a large number of wireless sensors that are powered by batteries and are designed for long-term, human-free deployment. Collisions between network nodes can significantly degrade performance in WSNs. Although increased bandwidth facilitates wireless access to high data frequencies, it is prohibitively expensive to increase due to spectrum limits. This necessitates making good use of the available bandwidth. OFDM has been considered as a possible interface mechanism for efficiently utilising bandwidth. While many signals available in WSN technology can be employed to mitigate collisions, multi-signal allocations may have a significant impact on the efficiency of multistage communications. Real-time multimedia flow raises the chance of sensor network failures and congestion, which reduces the efficiency of Quality of Service (QoS). The main goal of the Signal Allocation Scheme is to allocate an appropriate number of signals to any node in order to use professional bandwidth and assure QoS. Load balancing is intended to measure and prevent collisions caused by the number of available slots in the frame. Preparation is another important component in preventing collisions because it decreases delay and optimises energy utilisation. In this paper, an Integrated Signal Allocation Model with Effective Collision Resolution Model (ICAM-ECR) is used to deploy non-overlapping signals dynamically for varying application loads based on expected bandwidth estimation. The suggested model is compared to standard methods, and the findings reveal that the proposed model outperforms existing models.

An Energy Efficiency Task Allocation Method Based on Reasoning Model in Wireless Sensor Network

2011 ◽  
Vol 268-270 ◽  
pp. 440-445
Author(s):  
Wang Lan Tian ◽  
Hong Yan Lei
Keyword(s):  
Energy Efficiency ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Task Allocation ◽  
Energy Efficient ◽  
Negotiation Process ◽  
Energy Threshold ◽  
Wireless Sensor ◽  
Level Energy ◽  
Allocation Model

In this paper, a reasoning model is proposed for energy efficiency task allocation in wireless sensor network. The presented energy efficient contract net protocol is used to implement the negotiation process. Multi-issue scoring function can evaluate the offer with multi-issues in a quantifiable way. An energy threshold is brought to decrease communications which will turn out to decrease nodes’ energy consumption. And the usage of energy threshold also promote the nodes with high level energy have more chance to implement tasks. The simulation results show that the allocation model has outstanding performance maintaining a fair energy balance and is energy efficient in negotiation process.

A study on wireless sensor network based indoor positioning systems for context-aware applications

2010 ◽  
Vol 12 (1) ◽  
pp. 53-70 ◽  
Author(s):  
Jing Wang ◽  
R. Venkatesha Prasad ◽  
Xueli An ◽  
Ignas G. M. M. Niemegeers
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Indoor Positioning ◽  
Wireless Sensor ◽  
Context Aware ◽  
Positioning Systems

scholarly journals Interference-Aware Routing for Difficult Wireless Sensor Network Environment with SWIPT

Sensors ◽  
2019 ◽  
Vol 19 (18) ◽  
pp. 3978 ◽  
Author(s):  
Shiming He ◽  
Yangning Tang ◽  
Zhuozhou Li ◽  
Feng Li ◽  
Kun Xie ◽  
...  
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Routing Algorithm ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Allocation Model ◽  
Routing Problem ◽  
Non Invasive ◽  
Performance Gains ◽  
Rf Signal

The main challenges of sensing in harsh industrial and biological environments are the limited energy of sensor nodes and the difficulty of charging sensor nodes. Simultaneous wireless information and power transfer (SWIPT) is a non-invasive option to replenish energy. SWIPT harvests energy and decodes information from the same RF signal, which is influencing the design of a wireless sensor network. In multi-hop multi-flow wireless sensor networks, interference generally exists, and the interference has a different influence on SWIPT. Route, interference and SWIPT are dependent. However, existing works consider SWIPT link resource allocation with a given route or only select path for one flow without interference. Therefore, this paper firstly analyzes the influence of interference on SWIPT, and select the SWIPT routing with interference. We design an interference-based information and energy allocation model to maximize the link capacity with SWIPT. Then, we design an interference-aware route metric, formulate SWIPT routing problem, and design an interference-aware SWIPT routing algorithm. The simulation results show that as the number of flows increases, there is more likely to obtain performance gains from interference and SWIPT.

scholarly journals Performance Enhancement of Oil pipeline Monitoring for a Simulated Underwater Wireless Sensor Network

2020 ◽  
Vol 23 (3) ◽  
pp. 260-266
Author(s):  
Waseem M. Jassim ◽  
Ammar E. Abdelkareem
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Networks ◽  
Sensor Network ◽  
Performance Enhancement ◽  
Data Transfer ◽  
Routing Algorithm ◽  
Wireless Sensor ◽  
Relay Nodes ◽  
Limited Bandwidth ◽  
Oil Pipeline

In the last two decades, underwater acoustic sensor networks have begun to be used for commercial and non-commercial purposes. In this paper, the focus will be on improving the monitoring performance system of oil pipelines. Linear wireless sensor networks are a model of underwater applications for which many solutions have been developed through several research studies in previous years for data collection research. In underwater environments, there are certain inherent limitations, like large propagation delays, high error rate, limited bandwidth capacity, and communication with short-range. Many deployment algorithms and routing algorithms have been used in this field. In this work a new hierarchical network model proposed with improvement to Smart Redirect or Jump algorithm (SRJ). This improved algorithm is used in an underwater linear wireless sensor network for data transfer to reduce the complexity in routing algorithm for relay nodes which boost delay in communication.  This work is implemented using OMNeT++ and MATLAB based on their integration. The results obtained based on throughput, energy consumption, and end to the end delay.

scholarly journals Device Free Localisation Techniques in Indoor Environments

2019 ◽  
Vol 69 (4) ◽  
pp. 378-388 ◽  
Author(s):  
K S Anusha ◽  
Ramachandran Ramanathan ◽  
M Jayakumar
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Location Estimation ◽  
Wireless Sensor ◽  
Ultrasonic Frequency ◽  
Indoor Environments ◽  
Research Directions ◽  
Positioning Systems ◽  
Potential Benefits ◽  
Device Free

The location estimation of a target for a long period was performed only by device based localisation technique which is difficult in applications where target especially human is non-cooperative. A target was detected by equipping a device using global positioning systems, radio frequency systems, ultrasonic frequency systems, etc. Device free localisation (DFL) is an upcoming technology in automated localisation in which target need not equip any device for identifying its position by the user. For achieving this objective, the wireless sensor network is a better choice due to its growing popularity. This paper describes the possible categorisation of recently developed DFL techniques using wireless sensor network. The scope of each category of techniques is analysed by comparing their potential benefits and drawbacks. Finally, future scope and research directions in this field are also summarised.

Routing Protocol Design Issues and Challenges in Underwater Wireless Sensor Network

2021 ◽  
pp. 1-15
Author(s):  
Monika Choudhary ◽  
Nitin Goyal
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Routing Protocols ◽  
Protocol Design ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Available Bandwidth ◽  
Underwater Environment ◽  
Spatially Distributed ◽  
Terrestrial Network

An underwater wireless sensor network (UWSN) is a group of spatially distributed sensors for monitoring the physical changes of underwater environment and organize the measured data at a base station. Out of many big challenges in this field, network protocol design is of great concern due to the idiosyncratic nature of underwater environment. As underwater sensor networks are very much distinct in nature from terrestrial network so as the challenges, some of the major issues of concern in underwater environment are long propagation delay, available bandwidth, error rate, restricted battery power, movement of sensor nodes, etc. Because of all these issues and challenges, the routing protocols for terrestrial network can't be implemented in UWSNs. Hence, there is demand for new and different routing protocols for UWSNs. In this chapter, an overall survey of various routing protocols along with pros and cons are explained with challenges for designing new routing protocols for vast and enormous UWSNs.

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