Analysis of EMCA, EFNR and HEFRN Algorithm in Wireless Sensor Networks

2014 ◽  
Vol 550 ◽  
pp. 102-109 ◽  
Author(s):  
M. Karpagam ◽  
N. Nagarajan ◽  
J. Abiramiathavi ◽  
K. Vijaipriya
Keyword(s):  
Energy Efficiency ◽  
Power Supply ◽  
Energy Efficient ◽  
Sensor Node ◽  
Clustering Algorithm ◽  
Relay Node ◽  
Mobile Sink ◽  
High Energy ◽  
Wireless Sensor ◽  
Node Routing

One of the main challenges of wireless sensor network is maximization of the lifetime of the sensor node. Since the energy efficiency determines the lifetime of a sensor node, power consumption of the sensing device should be minimized. To conserve power, sensor node should shut off the power supply when not in use. In this paper, we analyze the performance of energy efficient algorithms namely enhanced fault node regaining (EFNR) algorithm, energy – efficient mobile-sink clustering algorithm (EMCA) and a relay node routing technique to High Energy First (HEFRN) clustering algorithm.

scholarly journals E2-SCRP: An Energy Efficient Secure Clusterbased Routing Protocol for 3D Underwater Acoustic MANET (UWMANET)

2019 ◽  
Vol 8 (11) ◽  
pp. 2430-2442
Keyword(s):  
Energy Consumption ◽  
Routing Protocol ◽  
Data Transmission ◽  
Energy Efficient ◽  
Sensor Node ◽  
Clustering Algorithm ◽  
Mobile Ad Hoc Network ◽  
High Energy ◽  
Buffer Size ◽  
Delivery Ratio

In the current years, Underwater Mobile Ad hoc Network (UWMANET) has emerged as an enthusiastic field for supporting disaster prevention applications (Climate and Weather Observation, Earthquakes in Ocean (Tsunamis), underwater level navigation and tracking). In UWMANET, conventional data transmission methods have certain drawbacks such as high energy consumption, packet loss rate and end-toend delay. Nowadays, mobile node i.e. Autonomous Underwater Vehicle (AUV) is widely used for data collection from underwater sensors, which act as a relay between sensor node and surface sink. Security is a significant issue in UWMANET, which is required for secure communications. In this paper, Energy Efficient Secure Cluster based Routing Protocol called E2 -SCRP is presented in 3D UWMANET environment. The qu-Vanstone based Elliptic Curve Cryptography (qV-ECC) based short-term public key generation scheme is proposed for sensor node authentication. To reduce energy consumption, layer based clustering algorithm is proposed using Type-2 Fuzzy Logic System (T2fls) where Trust value, Distance between neighbors, Relative mobility and Node buffer size for cluster head (CH) election are considered. Next step is to execute two different security schemes based on Event Management. For event occurred clusters, Ciphertext Stealing Technique (CST) is used to resolve the ciphertext expansion problem. For normal data transmission, Lightweight Digital Watermarking (LDW) with Firefly algorithm is proposed. Optimal route for data transmission is executed by Pigeons Swarm Optimization (PiSO) and the forward to sink node via Adjacent AUV. Experiments conducted using NS3 (3.26) and the performance is evaluated for several metrics include packet delivery ratio, energy consumption, end-to-end delay, security strength, and throughput

scholarly journals Energy Efficient Routing for Multi-hop Clustered Wireless Sensor Network with SWIPT

2020 ◽  
Author(s):  
Shu Han ◽  
Xiaoming Liu ◽  
Hongyu Huang ◽  
Fei Wang ◽  
Yuanhong Zhong
Keyword(s):  
Energy Efficiency ◽  
Routing Protocol ◽  
Energy Efficient ◽  
Optimization Problems ◽  
High Energy ◽  
Wireless Sensor ◽  
Dual Decomposition ◽  
Energy Efficient Routing ◽  
Routing Problem ◽  
Distributed Routing

Abstract This paper considers combining simultaneous wireless information and power transfer (SWIPT) technique and routing technique, and applying them to multi-hop clustered wireless sensor networks (MCWSN), where each node can decode information and harvest energy from a received radio frequency signal. And the relay nodes in MCWSN can utilize the harvest energy to forward data to their next hop nodes according to the routing scheme. First, we formulate an energy-efficient routing problem of MCWSN with SWIPT. Then, a heuristic energy efficient cooperative SWIPT routing algorithm (EECSR) is presented to find a transmission path with the maximum energy efficiency. Specifically, In EECSR, the resource allocation problem in each hop of the path is transformed to some equivalent convex optimization problems, which are resolved via dual decomposition. Moreover, a distributed routing protocol based on EECSR is proposed.As far as we know, this is the first solution that considers energy efficiency optimization based on routing and SWIPT in MCWSN. Simulation results show that our EECSR algorithm has high energy efficiency and good robustness. And our distributed routing protocol has better real-time performance than traditional protocols.

scholarly journals Game Theory-Based Energy-Efficient Clustering Algorithm for Wireless Sensor Networks

Sensors ◽  
2022 ◽  
Vol 22 (2) ◽  
pp. 478
Author(s):  
Xiao Yan ◽  
Cheng Huang ◽  
Jianyuan Gan ◽  
Xiaobei Wu
Keyword(s):  
Game Theory ◽  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Network Lifetime ◽  
Energy Efficient ◽  
Sensor Node ◽  
Clustering Algorithm ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Energy Efficient Clustering

Energy efficiency is one of the critical challenges in wireless sensor networks (WSNs). WSNs collect and transmit data through sensor nodes. However, the energy carried by the sensor nodes is limited. The sensor nodes need to save energy as much as possible to prolong the network lifetime. This paper proposes a game theory-based energy-efficient clustering algorithm (GEC) for wireless sensor networks, where each sensor node is regarded as a player in the game. According to the length of idle listening time in the active state, the sensor node can adopt favorable strategies for itself, and then decide whether to sleep or not. In order to avoid the selfish behavior of sensor nodes, a penalty mechanism is introduced to force the sensor nodes to adopt cooperative strategies in future operations. The simulation results show that the use of game theory can effectively save the energy consumption of the sensor network and increase the amount of network data transmission, so as to achieve the purpose of prolonging the network lifetime.

UCAEE: Uniform Clustering Algorithm for Energy Efficiency in Wireless Sensor Networks

2020 ◽  
Vol 10 ◽  
Author(s):  
Karuna Babber
Keyword(s):  
Energy Efficiency ◽  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Energy Efficient ◽  
Clustering Algorithm ◽  
Minimum Energy ◽  
Base Station ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Energy Efficient Routing

Background: The advent of wireless sensor networks makes it possible to track the events even in the remotest areas that too without human intervention. But severe resource constraints, generally energy of sensor nodes push researchers worldwide to develop energy efficient protocols in order to accomplish the application objectives of these networks. Objective: However, till date there is no energy efficient routing protocol which provides uniformity with maximum resource utilization for WSNs. Methods: In this paper, a Uniform Clustering Algorithm for Energy Efficiency in Wireless Sensor Networks (UCAEE) has been proposed. UCAEE is a base station controlled algorithm where entire sensing area is partitioned into uniform clusters. The motive of the algorithm is to split the sensing area into uniform clusters and to select cluster heads and gate-way nodes within each cluster so that the network energy can be balanced in a best possible way. Conclusion: UCAEE achieves minimum energy consumption during data transmission and reception. Results: Simulation results indicate that proposed UCAEE algorithm conserves more energy than its contemporary clustering algorithms like LEACH, PEGASIS and SECA and promises better network lifetime of wireless sensor networks.

scholarly journals Multi-Criteria Decision-based Path Planning for Data Collection in Fuzzy-Cluster based Large Sensor Networks

2021 ◽  
Author(s):  
Sunil Kumar Singh ◽  
Prabhat Kumar
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Path Planning ◽  
Information Transmission ◽  
Sensor Node ◽  
Clustering Algorithm ◽  
Mobile Sink ◽  
Base Station ◽  
Fuzzy Cluster ◽  
Wireless Sensor

Abstract Wireless sensor networks (WSN) are widely used to gather information using wireless communication, but due to the confined power of sensor nodes, it is a predominant task to make WSN energy-efficient. Generally, a sensor node finds routes towards the base station (BS) to transmit the data. The sensor node transmits information at once or via neighbor nodes in a multi-hop manner. The nodes close to the BS transmit more data than other nodes. The nodes close to the BS tend to deplete their power quicker than different nodes in the network. This issue is known as the hotspot problem, leading to network separation and reducing the lifetime of the sensor network. The mobile sink as a better strategy to dispose of the hotspot problem in the course of information transmission, but the most critical challenges are finding sojourn points and path planning. This paper makes use of a cluster head (CH) as a sojourn point and multi-criteria decision strategy for path planning by the mobile sink at some stage in information collection. This paper contributes a fuzzy-based clustering algorithm that uses fuzzy logic to decide on cluster heads (CHs). The TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) approach used to figure out the mobile sink's route. Based on this route, the mobile sink will move to collect data from every CH in the network. This scheme receives an order of CHs to visit and collect the data with the mobile sink. The simulation outcomes exhibit that this strategy performs better than the other protocols, which uses multi-hop information transmission for extending the lifetime of wireless sensor networks and one parameter for route planning.

scholarly journals Energy-Efficiency of Dual-Switched Branch Diversity Receiver in Wireless Sensor Networks

2011 ◽  
Vol 7 (2) ◽  
pp. 130-137
Author(s):  
Ghaida AL-Suhail
Keyword(s):  
Energy Efficiency ◽  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Channel Coding ◽  
Sensor Node ◽  
High Energy ◽  
Wireless Sensor ◽  
Bch Code ◽  
Improve Energy Efficiency ◽  
Diversity Receiver

In this paper, we develop an analytical energy efficiency model using dual switched branch diversity receiver in wireless sensor networks in fading environments. To adapt energy efficiency of sensor node to channel variations, the optimal packet length at the data link layer is considered. Within this model, the energy efficiency can be effectively improved for switch-and-stay combiner (SSC) receiver with optimal switching threshold. Moreover, to improve energy efficiency, we use error control of Bose-Chaudhuri-Hochquengh (BCH) coding for SSC-BPSK receiver node compared to one of non-diversity NCFSK receiver of sensor node. The results show that the BCH code for channel coding can improve the energy efficiency significantly for long link distance and various values of high energy consumptions over Rayleigh fading channel.

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