scholarly journals Energy Efficient MAC Scheme for Wireless Sensor Networks with High-Dimensional Data Aggregate

2015 ◽  
Vol 2015 ◽  
pp. 1-13 ◽  
Author(s):  
Seokhoon Kim ◽  
Hangki Joh ◽  
Seungjun Choi ◽  
Intae Ryoo
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
High Dimensional Data ◽  
Wireless Sensor ◽  
High Dimensional ◽  
Sink Node ◽  
Group Management ◽  
Mac Scheme ◽  
Sensor Device ◽  
Sensor Devices

This paper presents a novel and sustainable medium access control (MAC) scheme for wireless sensor network (WSN) systems that process high-dimensional aggregated data. Based on a preamble signal and buffer threshold analysis, it maximizes the energy efficiency of the wireless sensor devices which have limited energy resources. The proposed group management MAC (GM-MAC) approach not only sets the buffer threshold value of a sensor device to be reciprocal to the preamble signal but also sets a transmittable group value to each sensor device by using the preamble signal of the sink node. The primary difference between the previous and the proposed approach is that existing state-of-the-art schemes use duty cycle and sleep mode to save energy consumption of individual sensor devices, whereas the proposed scheme employs the group management MAC scheme for sensor devices to maximize the overall energy efficiency of the whole WSN systems by minimizing the energy consumption of sensor devices located near the sink node. Performance evaluations show that the proposed scheme outperforms the previous schemes in terms of active time of sensor devices, transmission delay, control overhead, and energy consumption. Therefore, the proposed scheme is suitable for sensor devices in a variety of wireless sensor networking environments with high-dimensional data aggregate.

scholarly journals RDCPF: A Redundancy-Based Duty-Cycling Pipelined-Forwarding MAC for Linear Sensor Networks

Sensors ◽  
2020 ◽  
Vol 20 (19) ◽  
pp. 5608
Author(s):  
Quanwei Zhang ◽  
Dazhong Li ◽  
Yue Fei ◽  
Jiakang Zhang ◽  
Yu Chen ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Sleep Latency ◽  
Wireless Sensor ◽  
Sink Node ◽  
Duty Cycling ◽  
Energy Hole ◽  
Packet Delivery

Existing duty-cycling and pipelined-forwarding (DCPF) protocols applied in battery-powered wireless sensor networks can significantly alleviate the sleep latency issue and save the energy of networks. However, when a DCPF protocol applies to a linear sensor network (LSN), it lacks the ability to handle the bottleneck issue called the energy-hole problem, which is mainly manifested due to the excessive energy consumption of nodes near the sink node. Without overcoming this issue, the lifespan of the network could be greatly reduced. To that end, this paper proposes a method of deploying redundant nodes in LSN, and a corresponding enhanced DCPF protocol called redundancy-based DCPF (RDCPF) to support the new topology of LSN. In RDCPF, the distribution of energy consumption of the whole network becomes much more even. RDCPF also brings improvements to the network in terms of network survival time, packet delivery latency, and energy efficiency, which have been shown through the extensive simulations in comparison with existing DCPF protocols.

An Efficient Trust-Based Routing Model for Clustered-Based Hetrogeneous Wireless Sensor Network

2020 ◽  
Vol 16 (2) ◽  
pp. 84-101
Author(s):  
Gousia Thaniyath
Keyword(s):  
Energy Efficiency ◽  
Data Access ◽  
Packet Transmission ◽  
Wireless Sensor ◽  
Misclassification Rate ◽  
Communication Overhead ◽  
Time Data ◽  
Sensor Device ◽  
Sensor Devices ◽  
The Impact

Wireless sensor networks (WSN) play a very important role in providing real-time data access for big data and IoT application. The open deployment, energy constraint, and lack of centralized administration makes WSN very vulnerable to various kinds of malicious attacks. In WSN, identifying malicious sensor device and eliminating their sensed information play very important roles for mission critical applications. Standard cryptography and authentication schemes cannot be directly used in WSN because of the resource constraint nature of sensor devices. Thus, energy efficient and low latency methodology is required for minimizing the impact of malicious sensor devices. This paper presents a secure and load balanced routing (SLBR) scheme for heterogeneous clustered-based WSN. SLBR present better trust-based security metric that overcomes the problem when sensor keep oscillating for good to bad state and vice versa, and also balance load among CH. Thus, they aid in achieving better security, packet transmission, and energy efficiency performance. Experiments are conducted to evaluate the performance of proposed SLBR model over existing trust-based routing model, namely exponential cat swarm optimization (ECSO). The result attained shows SLBR models attain better performance than ECSO in terms of energy efficiency (i.e., network lifetime considering first sensor device death and total sensor device death), communication overhead, throughput, packet processing latency, malicious sensor device misclassification rate, and identification.

scholarly journals Novel approach for hybrid MAC scheme for balanced energy and transmission in sensor devices

2022 ◽  
Vol 12 (1) ◽  
pp. 1003
Author(s):  
Anitha Krishna Gowda ◽  
Ananda Babu Jayachandra ◽  
Raviprakash Madenur Lingaraju ◽  
Vinay Doddametikurke Rajkumar
Keyword(s):  
Energy Efficiency ◽  
Data Aggregation ◽  
Sensor Node ◽  
Cost Effective ◽  
Wireless Sensor ◽  
Memory Consumption ◽  
Medium Access ◽  
Mac Scheme ◽  
Novel Approach ◽  
Sensor Devices

<p><span>Hybrid medium access control (MAC) scheme is one of the prominent mechanisms to offer energy efficiency in wireless sensor network where the potential features for both contention-based and schedule-based approaches are mechanized. However, the review of existing hybrid MAC scheme shows many loopholes where mainly it is observed that there is too much inclusion of time-slotting or else there is an inclusion of sophisticated mechanism not meant for offering flexibility to sensor node towards extending its services for upcoming applications of it. Therefore, this manuscript introduces a novel hybrid MAC scheme which is meant for offering cost effective and simplified scheduling operation in order to balance the performance of energy efficiency along with data aggregation performance. The simulated outcome of the study shows that proposed system offers better energy consumption, better throughput, reduced memory consumption, and faster processing in contrast to existing hybrid MAC protocols.</span></p>

EELEACH Clustering Approach to Improve Energy Efficiency in WSN

2019 ◽  
Vol 13 (2) ◽  
pp. 148-153
Author(s):  
Neha D. Desai ◽  
Shrihari D. Khatawkar
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Wireless Sensor ◽  
Data Delivery ◽  
Sink Node ◽  
Improve Energy Efficiency ◽  
Packet Delivery ◽  
Head Node

Background: Wireless sensor network is self-organizing which consists of a large number of sensor nodes and one sink node according to recent patents. The most important characteristics of such a network are the restricted resources like battery power, consumption capacity and consumption range. Energy consumption is one of the important issues in the wireless sensor network and the challenge is to prolong the network lifespan. Objective: The objective of the proposed approach is to balance a consumption of energy at member node as well as head node of cluster during the data transmission stage and to improve energy efficiency and lifespan of the network. Methods: The aim of an energy efficient clustering method to deal with the homogenous distribution and deployment of tree structure is performed. The performance of network is enhanced by electing head node with data to the node with greater cluster rate and having lowest distance from sink node. The member node sends their data to the head node which forwards their data to the node with greater weight rate which is sent to the sink node in an energy balancing way. Results: A performance analysis of existing approach as LEACH and proposed approach as EELEACH is undertaken by considering different metrics such as energy consumption successful data delivery, throughput, routing overhead, packet delivery fraction and delay ratio. Conclusion: From result analysis, the proposed system as EELEACH shows successful data delivery, throughput, routing overhead, packet delivery fraction and delay ratio. Hence, the low energy consumption improved lifespan of the network and better data transfer rate.

Energy Efficient Group Based Linear Wireless Sensor Networks for Application in Pipeline Monitoring

2020 ◽  
Vol 10 ◽  
Author(s):  
Chinedu Duru ◽  
Neco Ventura ◽  
Mqhele Dlodlo
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Remote Monitoring ◽  
Linear Array ◽  
Minimum Energy ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Sink Node ◽  
Pipeline Monitoring

Background: Wireless Sensor Networks (WSNs) have been researched to be one of the ground-breaking technologies for the remote monitoring of pipeline infrastructure of the Oil and Gas industry. Research have also shown that the preferred deployment approach of the sensor network on pipeline structures follows a linear array of nodes, placed a distance apart from each other across the infrastructure length. The linear array topology of the sensor nodes gives rise to the name Linear Wireless Sensor Networks (LWSNs) which over the years have seen themselves being applied to pipelines for effective remote monitoring and surveillance. This paper aims to investigate the energy consumption issue associated with LWSNs deployed in cluster-based fashion along a pipeline infrastructure. Methods: Through quantitative analysis, the study attempts to approach the investigation conceptually focusing on mathematical analysis of proposed models to bring about conjectures on energy consumption performance. Results: From the derived analysis, results have shown that energy consumption is diminished to a minimum if there is a sink for every placed sensor node in the LWSN. To be precise, the analysis conceptually demonstrate that groups containing small number of nodes with a corresponding sink node is the approach to follow when pursuing a cluster-based LWSN for pipeline monitoring applications. Conclusion: From the results, it is discovered that energy consumption of a deployed LWSN can be decreased by creating groups out of the total deployed nodes with a sink servicing each group. In essence, the smaller number of nodes each group contains with a corresponding sink, the less energy consumed in total for the entire LWSN. This therefore means that a sink for every individual node will attribute to minimum energy consumption for every non-sink node. From the study, it can be concurred that energy consumption of a LWSN is inversely proportional to the number of sinks deployed and hence the number of groups created.

Reliable and Energy-Efficient Routing Scheme for Underwater Wireless Sensor Networks (UWSNs)

2021 ◽  
Vol 11 (4) ◽  
pp. 42-58
Author(s):  
Semab Iqbal ◽  
Israr Hussain ◽  
Zubair Sharif ◽  
Kamran Hassan Qureshi ◽  
Javeria Jabeen
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Energy Efficient ◽  
Transmission Error ◽  
Wireless Sensor ◽  
Delivery Ratio ◽  
Underwater Communication ◽  
Radio Waves ◽  
Energy Efficient Routing ◽  
Resource Exploration

Despite the fact that the ocean plays a role in everything from the air we breathe to daily weather and climate patterns, we know very little about our ocean. Underwater wireless sensor network (UWSN) is one of the options helping us to discover some domains such as natural assets and underwater resource exploration. However, the acoustic signal is the only suitable option in underwater communication in the absence of radio waves, which face a number of challenges under this environment. To overcome these issues, many routing schemes are introduced by researchers though energy consumption is still a challenge in underwater communication. To overcome the issue of rapid energy consumption, a reliable and energy-efficient routing method is introduced that avoids the redundant forwarding of data; hence, it achieves energy efficiency and eventually prolongs the network lifetime. Simulation results support the claim that the proposed scheme achieves energy efficiency along higher delivery ratio by reducing the data transmission error rate during the routing decisions.

An Advanced Wireless Sensor Networks Design for Energy-Efficient Applications Using Condition-Based Access Protocol

2021 ◽  
pp. 171-186
Author(s):  
Vijendra Babu D. ◽  
K. Nagi Reddy ◽  
K. Butchi Raju ◽  
A. Ratna Raju
Keyword(s):  
Energy Efficiency ◽  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Energy Efficient ◽  
Network Throughput ◽  
Wireless Sensor ◽  
Sleep Mode ◽  
Medium Access ◽  
Access Protocol ◽  
Battery Lifetime

A modern wireless sensor and its development majorly depend on distributed condition maintenance protocol. The medium access and its computing have been handled by multi hope sensor mechanism. In this investigation, WSN networks maintenance is balanced through condition-based access (CBA) protocol. The CBA is most useful for real-time 4G and 5G communication to handle internet assistance devices. The following CBA mechanism is energy efficient to increase the battery lifetime. Due to sleep mode and backup mode mechanism, this protocol maintains its energy efficiency as well as network throughput. Finally, 76% of the energy consumption and 42.8% of the speed of operation have been attained using CBI WSN protocol.

scholarly journals Enabling Green Wireless Sensor Networks: Energy Efficient T-MAC Using Markov Chain Based Optimization

Electronics ◽  
2019 ◽  
Vol 8 (5) ◽  
pp. 534 ◽  
Author(s):  
Mahendra Ram ◽  
Sushil Kumar ◽  
Vinod Kumar ◽  
Ajay Sikandar ◽  
Rupak Kharel
Keyword(s):  
Energy Efficiency ◽  
Wireless Sensor Networks ◽  
Markov Chain ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Access Control ◽  
Analytical Model ◽  
Wireless Sensor ◽  
Medium Access ◽  
Service Delay

Due to the rapidly growing sensor-enabled connected world around us, with the continuously decreasing size of sensors from smaller to tiny, energy efficiency in wireless sensor networks has drawn ample consideration in both academia as well as in industries’ R&D. The literature of energy efficiency in wireless sensor networks (WSNs) is focused on the three layers of wireless communication, namely the physical, Medium Access Control (MAC) and network layers. Physical layer-centric energy efficiency techniques have limited capabilities due to hardware designs and size considerations. Network layer-centric energy efficiency approaches have been constrained, in view of network dynamics and available network infrastructures. However, energy efficiency at the MAC layer requires a traffic cooperative transmission control. In this context, this paper presents a one-dimensional discrete-time Markov chain analytical model of the Timeout Medium Access Control (T-MAC) protocol. Specifically, an analytical model is derived for T-MAC focusing on an analysis of service delay, throughput, energy consumption and power efficiency under unsaturated traffic conditions. The service delay model calculates the average service delay using the adaptive sleep wakeup schedules. The component models include a queuing theory-based throughput analysis model, a cycle probability-based analytical model for computing the probabilities of a successful transmission, collision, and the idle state of a sensor, as well as an energy consumption model for the sensor’s life cycle. A fair performance assessment of the proposed T-MAC analytical model attests to the energy efficiency of the model when compared to that of state-of-the-art techniques, in terms of better power saving, a higher throughput and a lower energy consumption under various traffic loads.

scholarly journals On Connectivity and Energy Efficiency for Sleeping-Schedule-Based Wireless Sensor Networks

Sensors ◽  
2019 ◽  
Vol 19 (9) ◽  
pp. 2126 ◽  
Author(s):  
Lijun Wang ◽  
Jia Yan ◽  
Tao Han ◽  
Dexiang Deng
Keyword(s):  
Energy Efficiency ◽  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Reference Value ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Normal Operation ◽  
Connectivity Probability ◽  
Communication Radius

Based on the connectivity and energy consumption problems in wireless sensor networks, this paper proposes a kind of new network algorithm called the connectivity and energy efficiency (CEE) algorithm to guarantee the connectivity and connectivity probability, and also to reduce the network energy consumption as much as possible. Under the premise that all sensors can communicate with each other in a specific communication radius, we obtained the relationship among the connectivity, the number of sensor nodes, and the communication radius because of the theory of probability and statistics. The innovation of the paper is to maximize the network connectivity and connectivity probability, by choosing which types of sleeping nodes to wake up. According to the node’s residual energy and the relative value of distance, the algorithm reduces the energy consumption of the whole network as much as possible, and wakes up the number of neighbor nodes as little as possible, to improve the service life of the whole network. Simulation results show that this algorithm combines the connectivity and the energy efficiency, provides a useful reference value for the normal operation of the sensors networks.

scholarly journals Balance the Energy Consumption of Geographic Hashing Location Service in Wireless Sensor and Actor Networks

2019 ◽  
Vol 15 (08) ◽  
pp. 74
Author(s):  
Zhaolin Wang ◽  
Zhezhuang Xu ◽  
Renxu Xie ◽  
Haotian Yan
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Load Balance ◽  
Efficient Solution ◽  
Geographic Routing ◽  
Wireless Sensor ◽  
Energy Aware ◽  
Location Service ◽  
Simulation Results ◽  
Actor Networks

Location service is an efficient solution to handle actor mobility in wireless sensor and actor networks. Geographic hashing location service (GHLS) is a flat hashing-based protocol which has better energy efficiency than other location service protocols. Nevertheless, GHLS suffers from unbalanced energy consumption due to the fixed hashed region. In this paper, we propose a new protocol termed as GHLS-R<sup>2</sup> to achieve load balance in two aspects: location server rotation and energy-aware geographic routing. Simulation results show that GHLS-R<sup>2</sup> protocol can effectively balance the energy consumption, and hence prolong the network lifetime significantly.

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