scholarly journals Collision Avoidance and Dynamic Sleep Scheduling Technique for Cluster Based Underwater Wireless Sensor Networks (UWSN)

2021 ◽  
Author(s):  
D. Anuradha ◽  
S. Suresh ◽  
P. Muneeshwari
Keyword(s):  
Data Aggregation ◽  
Cluster Head ◽  
Wireless Sensor ◽  
Sleep Scheduling ◽  
Underwater Wireless Sensor Networks ◽  
Data Packets ◽  
Scheduling Scheme ◽  
Design Protocol ◽  
To Receive ◽  
Scheduling Technique

Abstract In UWSN, during clustering, there may be occurrence of intra cluster collision. In order to overcome this issue, in this paper, we propose to design protocol to efficiently handle the intra-cluster collisions and to design sleep-wake up scheduling scheme for the data aggregation. In this case, the cluster head coordinates with its cluster members to transmit (append) their data packets with partially overlapping transmission times. After the CH finishes transmitting its packets to the courier nodes, it starts to receive incoming appended packets from its members. It then sends the packet to its parent CH towards the sink applying data fusion and sending the aggregated packet in TDMA period based on the receiver oriented sleep scheduling scheme. By simulation results, we show that the proposed technique minimizes collision and transmission delay.

scholarly journals A Reliable Energy Efficient Data Aggregation Algorithm for Wireless Sensor Network

2020 ◽  
Vol 9 (9) ◽  
pp. 686-691
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Data Aggregation ◽  
Energy Efficient ◽  
Cluster Head ◽  
Life Time ◽  
Environmental Data ◽  
Wireless Sensor ◽  
Data Packets ◽  
Efficient Data

One of the popular and emerging networks is wireless sensor networks (WSN), where it comprises of an unlimited number of sensors deployed dynamically and irregularly in a geolocation, for a specific purpose. Each sensor node in the network sense, collect and transmit the environmental data from one location to other location. All the nodes have the capabilities of transmitting and receiving the documents. The major problem in WSN is energy efficiency and network lifetime. By reducing the energy consumption, the network life time can be increased. Clustering, scheduling and other related methods are used to reduce the energy consumption, during the data transmission and receiving. This paper proposed a Reliable Energy Efficient Data Aggregation (REEDA) method for improving the energy efficiency. All the common nodes or the cluster head nodes gather, aggregate, and transmit the data where it reduces the energy consumption. The aggregation method is applied according to correlation of data packets generated by entire node. Simulations results prove that the proposed algorithm provides a good solution for minimizing communication and computation cost.

scholarly journals Honey Bee Optimization based Sink Mobility Aware Heterogeneous Protocol for Wireless Sensor Network

2019 ◽  
Vol 20 (4) ◽  
pp. 591-598 ◽  
Author(s):  
Ashish Kumar Luhach ◽  
Aditya Khamparia ◽  
Ravindra Sihag ◽  
Raj Kumar
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Honey Bee ◽  
Heterogeneous Network ◽  
Cluster Head ◽  
Wireless Sensor ◽  
Research Issues ◽  
Data Packets ◽  
Industrial Monitoring ◽  
The Stability

Wireless Sensor Network (WSN) has emerged as one of the most important technologies serving an array of solutions for critical applications such as defense, industrial monitoring and decision purposes. Data routing in WSN is effective or non-effective depending upon the energy saving for nodes while transferring data packets to the sink. Mainly WSN divided into two modes; heterogeneous and homogeneous. Heterogeneous network in WSN mainly focused on the cluster head selection. Sink mobility in the heterogeneous network has still many open research issues, it is observed that it makes the network more energy efficient. The optimization in the network leads to the stability of the network at a much higher level. In this paper, the sink mobility is optimized for WSN using Honey Bee Optimization (HBO) technique by considering the parameters such as energy and distance. The proposed protocol shows significant improvement in the stability period by 33 % by covering 2928 rounds and enhanced network lifetime by 1500 rounds in compared with 2033 and 14084 rounds for iMBEENISH protocol respectively.

scholarly journals Hierarchical classification of time series data aggregation in underwater wireless sensor networks

2020 ◽  
Vol 37 (2) ◽  
pp. 53-64
Author(s):  
Durairaj Ruby ◽  
Jayachandran Jeyachidra
Keyword(s):  
Time Series ◽  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Error Rate ◽  
Data Aggregation ◽  
Hierarchical Classification ◽  
Wireless Sensor ◽  
Underwater Wireless Sensor Networks

Environmental fluctuations are continuous and provide opportunities for further exploration, including the study of overground, as well as underground and submarine, strata. Underwater wireless sensor networks (UWSNs) facilitate the study of ocean-based submarine and marine parameters details and data. Hardware plays a major role in monitoring marine parameters; however, protecting the hardware deployed in water can be difficult. To extend the lifespan of the hardware, the inputs, processing and output cycles may be reduced, thus minimising the consumption of energy and increasing the lifespan of the devices. In the present study, time series similarity check (TSSC) algorithm is applied to the real-time sensed data to identify repeated and duplicated occurrences of data for reduction, and thus improve energy consumption. Hierarchical classification of ANOVA approach (HCAA) applies ANOVA (analysis of variance) statistical analysis model to calculate error analysis for realtime sensed data. To avoid repeated occurrences, the scheduled time to read measurements may be extended, thereby reducing the energy consumption of the node. The shorter time interval of observations leads to a higher error rate with lesser accuracy. TSSC and HCAA data aggregation models help to minimise the error rate and improve accuracy.

Cluster-to-Cluster Relay Schemes in Wireless Sensor Network

2011 ◽  
Vol 179-180 ◽  
pp. 728-733
Author(s):  
Xue Fen Zhang ◽  
Fang Zhen Li
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Cooperative Communications ◽  
Cluster Head ◽  
Cooperative Transmission ◽  
Wireless Sensor ◽  
Transmission Scheme ◽  
Numerical Examples ◽  
Data Packets ◽  
Head Node

Cooperative communications is a promising technology to improve the performance of wireless sensor networks. To ensure scalability sensor networks are often partitioned into clusters, each managed by a cluster head. most of the previous research focused on the optimal communication of sensors in one cluster, very little attention has been paid to the efficiency of cooperation among the clusters .In this paper, we consider cluster-to-cluster cooperative communications where cluster head node relay data packets to nearby cluster head nodes using cooperative communications, and propose two cooperative transmission scheme and analysis on the throughput and outage probability. Finally, we demonstrate the applicability of our results through numerical examples.

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