Equal energy dissipation in wireless sensor network

Clustering in wireless sensor network is important to increase the lifetime of sensor network. LEACH protocol is one of the clustering routing protocols in wireless sensor networks. In LEACH each node has the equal probability to be a cluster head, due to which the energy dissipation of every node is balanced. In LEACH protocol, time is divided into many rounds and in each round, all the nodes wishes to be cluster head according to a predefined criterion. This paper focuses on the approach that how could the number of cluster heads are limited in the network, if we limit the number of cluster head to a percentage of total nodes in the network, we can increase the lifetime of the network and decrease the energy dissipation per node. These functions can be used to enhance the performance of cluster-based wireless sensor networks in terms of lifetime and throughput.

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An Efficiency of Timing to Route Discovery in Mobile Sink by using WSN

International Journal of Innovative Technology and Exploring Engineering - Special Issue ◽

10.35940/ijitee.l3955.1081219 ◽

2019 ◽

Vol 8 (12) ◽

pp. 4559-4564

Keyword(s):

Wireless Sensor Network ◽

Time Delay ◽

Energy Dissipation ◽

Sensor Network ◽

Large Scale ◽

Hot Spot ◽

Mobile Sink ◽

Sensor Nodes ◽

Wireless Sensor ◽

Delay Bound

Due to the prospective implementation in many fields, study functionality in the wireless sensor network has risen very impressively in recent years. Wireless large-scale sensor networks contain various sources and various sink numbers. This plays a significant part in application performance. To this end, we will concentrate on the primary issue of sink arrangement in this study to minimize time delay in the worst scenario as well as to increase the lifespan of the wireless sensor network. Here we suggest an interconnected anatomy frame for calculating the mobility of the junction sink, routing details. We're talking about the causes of sub problems and bringing them efficient results. Then we combine all these outcomes and suggest the real issue with the optimum polynomial-time algorithm. From this consequence, the merits of involving nodes (mobile sink) and network argument or parametric quantity impact will be displayed. (Example: various sensors, sinks and time delay bound) the lifespan of the network. As we understand, Wireless sensor network nodes are battery-dependent equipment that collects information from the surroundings and send this (information) information to the sink node for further computational processing leading to energy dissipation in batteries The batteries are non-rechargeable or in certain settings it may be hard to replace or recharge. These problems result in the design of a new algorithm for node energy efficiency In typical conditions, the sensor nodes display many to one communication with the sink, resulting in a faster energy depletion of the nodes near the sink, commonly referred to as the energy deficiency hole problem or the hot spot problem. hence in this situation, the mobility of the sink can help in balancing of energy dissipation of the sensor nodes In wireless sensor network when information data hold up by working sink it should be Bounded. Our results show that the proposed algorithm can work better than previous methods and yield results in remote locations such as in the wide region of the wireless sensor network, lake, mountains, hill stations, etc. Additional guideline antennas can boost the transfer chain, which increases to lower hops and low routing delays. Finally, numerical studies analyze the suggested work and simulations are performed to validate through MATLAB.

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Energy Efficient Scheduling Scheme for Wireless Sensor Network

International Journal of Innovative Technology and Exploring Engineering - Special Issue ◽

10.35940/ijitee.d1772.029420 ◽

2020 ◽

Vol 9 (4) ◽

pp. 2259-2266

Keyword(s):

Wireless Sensor Network ◽

Energy Dissipation ◽

Energy Conservation ◽

Sensor Network ◽

Life Time ◽

Wireless Sensor ◽

Monitoring Method ◽

Phase Switching ◽

Mode Operation ◽

Battery Energy

Energy conservation in wireless sensor network (WSN) is a critical need for efficient application in real time interface. Due to a continuous active mode operation, the nodes terminals have a large energy dissipation, which leads to faster energy dissipation. The need of energy conservation in wireless sensor terminals is very critical due to its remote battery energy source. In order to conserve energy, Terminals in WSN are scheduled to operate in different operative modes resulting in active and no-active modes called sleep operation. The scheduling resulted in higher energy conservation, however the static period scheduling of phase switching in WSN operation leads to additional switching energy loss. In this paper, a new scheduling Method for energy conservation using a active learning Exchange called ‘Tick’ wake attribute is used for adaptive control of operational switching in WSN. The proposed Method is a monitoring Method for energy conservation in WSN by operating in cluster mode operation. The operational condition in a simulation of distributed WSN nodes illustrated a higher energy conservation, and resulting in improvement of node life time and network metric in WSN interface.

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Reinforce Coverage Area of Sensor Mote in Wireless Ad-Hoc Networks Using Genetic Algorithm

International Journal of Engineering & Technology ◽

10.14419/ijet.v7i3.27.18471 ◽

2018 ◽

Vol 7 (3.27) ◽

pp. 508

Author(s):

B Hemalatha ◽

S Srinivasan

Keyword(s):

Genetic Algorithm ◽

Wireless Sensor Network ◽

Energy Dissipation ◽

Sensor Network ◽

Network Lifetime ◽

Clustering Algorithm ◽

Fitness Function ◽

Cluster Head ◽

Wireless Sensor ◽

Coverage Area

Wireless sensor based communication is everlasting growing sector within the industry of communication. In WSN improving the life expectancy of the network depends on the energy dissipation of senor devices. Diminishing the energy dissipation of sensor device will enhance the lifetime and device failure which helps in better availability and coverage area of sensor network. One of the dynamic research fields in wireless sensor network is that of coverage. Coverage can be defined as how well each point of interest is monitored by sensor network. In this paper, we investigate the cluster head selection issue, particularly focusing on applications where the upkeep of full network coverage is the fundamental prerequisite. Coverage maintenance for extended period is a pivotal issue in wireless sensor network because of the constrained inbuilt battery in sensors. Coverage maintenance may be prolonged by utilizing the network energy efficiently, by keeping an adequate number of sensors in sensor covers. The clustering algorithm is a solution to reduce energy consumption which can be helpful to the scalability and network lifetime. Assuming serious energy rebalancing with additional clustering algorithm, a Genetic algorithm (GA) based clustering algorithm which evaluates the fitness function by considering the two major parameters distance and energy has been proposed in this paper. Simulation result shows that the proposed solution finds the optimal cluster heads and has prolonged network lifetime and maximum coverage.

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