scholarly journals A Survey on Energy-Efficient Strategies in Static Wireless Sensor Networks

2020 ◽  
Vol 17 (1) ◽  
pp. 1-48
Author(s):  
Deyu Lin ◽  
Quan Wang ◽  
Weidong Min ◽  
Jianfeng Xu ◽  
Zhiqiang Zhang
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Energy Efficient ◽  
Wireless Sensor ◽  
Static Wireless Sensor Networks

Analysis of Coverage Hole Problem for Detection and Restoration in Wireless Sensor Networks

2020 ◽  
Vol 12 (3) ◽  
pp. 403-408 ◽  
Author(s):  
Rashmeet Kaur ◽  
Amit Gupta ◽  
Rakesh Goyal
Keyword(s):  
Wireless Sensor Networks ◽  
Wireless Sensor Network ◽  
Sensor Networks ◽  
Sensor Network ◽  
Energy Efficient ◽  
Wireless Sensor ◽  
Unequal Clustering ◽  
Static Wireless Sensor Networks ◽  
Energy Efficient Clustering ◽  
Coverage Holes

Wireless Sensor Network is an evolving technology which has gained massive attention in the past few years. Researchers are focusing on designing the wireless sensors more and more intelligent and efficient to make our life extremely comfortable and luxurious. Wireless Sensor Networks are used in bridge monitoring, smart agriculture, health care monitoring, landslide detection, biodiversity mapping, etc. Coverage holes are one of the key problems which occur in the Wireless Sensor Network accidentally and they cannot be neglected. The coverage holes appear in the sensing field due to poor instalment, node failure, battery depletion, etc. In this paper, detection and restoration method based on Hybrid Wireless Sensor Networks and Static Wireless Sensor Networks are discussed. Further, we have analysed the performances of these networks using Unequal Clustering and Connected Graphand Novel Energy Efficient Clustering Protocol techniques. The simulation results revealed that for Hybrid Wireless Sensor Networks, Unequal Clustering and Connected Graph protocol is best suitable and for Static Wireless Sensor Networks, Novel Energy Efficient Clustering Protocoltechnique will be preferred.

A New Energy-Efficient Hybrid and Clustering Routing for Wireless Sensor Networks

2017 ◽  
Vol 7 (3) ◽  
pp. 176
Author(s):  
Muneer Bani Yassein ◽  
Yaser Khamayseh ◽  
Ismail Hmeidi ◽  
Ahmed Al-Dubai ◽  
Mohammed Al-Maolegi
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Energy Efficient ◽  
Wireless Sensor ◽  
New Energy

Performance Analysis of TBC-ACO Routing Protocol with Existing Routing Protocols of Wireless Sensor Networks

2017 ◽  
Vol 7 (8) ◽  
pp. 169
Author(s):  
A. Radhika ◽  
D. Haritha
Keyword(s):  
Energy Efficiency ◽  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Swarm Intelligence ◽  
Routing Protocol ◽  
Routing Protocols ◽  
Energy Efficient ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Congestion Aware

Wireless Sensor Networks, have witnessed significant amount of improvement in research across various areas like Routing, Security, Localization, Deployment and above all Energy Efficiency. Congestion is a problem of  importance in resource constrained Wireless Sensor Networks, especially for large networks, where the traffic loads exceed the available capacity of the resources . Sensor nodes are prone to failure and the misbehaviour of these faulty nodes creates further congestion. The resulting effect is a degradation in network performance, additional computation and increased energy consumption, which in turn decreases network lifetime. Hence, the data packet routing algorithm should consider congestion as one of the parameters, in addition to the role of the faulty nodes and not merely energy efficient protocols .Nowadays, the main central point of attraction is the concept of Swarm Intelligence based techniques integration in WSN.  Swarm Intelligence based Computational Swarm Intelligence Techniques have improvised WSN in terms of efficiency, Performance, robustness and scalability. The main objective of this research paper is to propose congestion aware , energy efficient, routing approach that utilizes Ant Colony Optimization, in which faulty nodes are isolated by means of the concept of trust further we compare the performance of various existing routing protocols like AODV, DSDV and DSR routing protocols, ACO Based Routing Protocol  with Trust Based Congestion aware ACO Based Routing in terms of End to End Delay, Packet Delivery Rate, Routing Overhead, Throughput and Energy Efficiency. Simulation based results and data analysis shows that overall TBC-ACO is 150% more efficient in terms of overall performance as compared to other existing routing protocols for Wireless Sensor Networks.

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