Energy Conservation in WSN: A Review of Current Techniques

WSN is defined as the group of sensor nodes which has the ability to sense various environmental parameters. It has limitation in ranges. The sensor nodes present in the network could be stationary or movable or even homogeneous or location aware. The sensed data from sensor nodes are transmitted to base station using multiple hops. It could also be done using Internet via router or gateway. Information gathered by base station increases according to the increase in sensor nodes occupying maximum capacity of present network. Wireless sensor network is an assembly of nodes from one to many or even hundreds or thousands, one of the nodes is connected to one sensor. These sensor nodes have different parts like a radio trans-receiver along with an internal or external antenna, microcontroller, power supply which will be battery oriented or connected with solar harvesting system and PCB based electronic circuit for interfacing. The trans-receiver receive and send information to and from the base station (control computer). Size of sensor node varies like size of a shoebox to the dust grain. Cost of these sensors varies according to their size, depending on the interfacing complexity of each node. Limitation of cost and size of sensor nodes results in correspondence limitation of resources used such as computational speed, power supply, and memory storage and network bandwidth. The main motto of this paper is to overcome the major problem of energy conservation in WSNs with a simple approach.

[1]  Swades De,et al.  Experimental study of concurrent data and wireless energy transfer for sensor networks , 2014, 2014 IEEE Global Communications Conference.

[2]  Vijander Singh,et al.  An enhanced quantum key distribution protocol for security authentication , 2019, Journal of Discrete Mathematical Sciences and Cryptography.

[3]  Madhavi Sinha,et al.  Design and development of new framework for detection and mitigation of wormhole and black hole attacks in VANET , 2019, Journal of Statistics and Management Systems.

[4]  Tolga Soyata,et al.  RF Energy Harvesting for Embedded Systems: A Survey of Tradeoffs and Methodology , 2016, IEEE Circuits and Systems Magazine.

[5]  Wendi B. Heinzelman,et al.  Prolonging the lifetime of wireless sensor networks via unequal clustering , 2005, 19th IEEE International Parallel and Distributed Processing Symposium.

[6]  Zhi Ang Eu,et al.  Wireless sensor networks powered by ambient energy harvesting (WSN-HEAP) - Survey and challenges , 2009, 2009 1st International Conference on Wireless Communication, Vehicular Technology, Information Theory and Aerospace & Electronic Systems Technology.

[7]  Yiwei Thomas Hou,et al.  Wireless power transfer and applications to sensor networks , 2013, IEEE Wireless Communications.

[8]  Vijander Singh,et al.  An improved quantum key distribution protocol for verification , 2019, Journal of Discrete Mathematical Sciences and Cryptography.

[9]  Xuemin Shen,et al.  Lifetime and Energy Hole Evolution Analysis in Data-Gathering Wireless Sensor Networks , 2016, IEEE Transactions on Industrial Informatics.

[10]  Yacine Challal,et al.  Energy efficiency in wireless sensor networks: A top-down survey , 2014, Comput. Networks.

[11]  Kamal Kant Hiran,et al.  Selection of Cloud Service Provider Based on Sampled Non-functional Attribute Set , 2019, ISDA.

[12]  Vijander Singh,et al.  An enhanced energy efficient routing protocol for VANET using special cross over in genetic algorithm , 2019, Journal of Statistics and Management Systems.

[13]  Ian F. Akyildiz,et al.  Wireless sensor networks: a survey , 2002, Comput. Networks.

[14]  Falko Dressler,et al.  On the lifetime of wireless sensor networks , 2009, TOSN.

[15]  Micheal Drieberg,et al.  A simple solar energy harvester for wireless sensor networks , 2016, 2016 6th International Conference on Intelligent and Advanced Systems (ICIAS).

[16]  Julien Penders,et al.  Energy Harvesting for Autonomous Wireless Sensor Networks , 2010, IEEE Solid-State Circuits Magazine.

[17]  Madhavi Sinha,et al.  Design and analysis of an improved AODV protocol for black hole and flooding attack in vehicular ad-hoc network (VANET) , 2019, Journal of Discrete Mathematical Sciences and Cryptography.

[18]  Mario Di Francesco,et al.  Energy conservation in wireless sensor networks: A survey , 2009, Ad Hoc Networks.

[19]  Ian F. Akyildiz,et al.  Sensor Networks , 2002, Encyclopedia of GIS.

[20]  Faisal Karim Shaikh,et al.  Energy harvesting in wireless sensor networks: A comprehensive review , 2016 .

[21]  Mehul Mahrishi,et al.  Index Point Detection and Semantic Indexing of Videos—A Comparative Review , 2020 .

[22]  Cong Wang,et al.  Combining Solar Energy Harvesting with Wireless Charging for Hybrid Wireless Sensor Networks , 2018, IEEE Transactions on Mobile Computing.