Some Target Coverage Issues of Wireless Sensor Network

Raghvendra Kumar; Prasant Kumar Pattnaik; Priyanka Pandey

doi:doi:10.11648/j.ijdst.20160202.11

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Some Target Coverage Issues of Wireless Sensor Network

Raghvendra Kumar, Prasant Kumar Pattnaik, Priyanka Pandey

Published in International Journal on Data Science and Technology (Volume 2, Issue 2)

Received: 7 January 2016 Accepted: 19 January 2016 Published: 19 February 2016

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Abstract

Recent improvements in technologies have a considerable impaction advancing the state of wireless sensor networks, which constitute the platform of broad range of applications related to national Security, Habitat Monitoring, Environment observation and forecasting, Health Applications, Home and Office Applications. An important problem receiving increased consideration recently is the target cover age problem, which is concerned with random deployment of sensor nodes for monitoring the specific targets for maximum duration. These small sized sensor nodes have limited resources in terms of energy, memory, computational speed and bandwidth; and can’t withstand extreme environmental conditions. Therefore, more number of sensor nodes is deployed than the specific requirements in order to improve fault to clearance of the sensor network. However, this high redundancy of sensor nodes can lead to excessive energy wastage. Since the nodes have limited energy resources and each sensor node requires a specific amount of energy to monitor a target, judicious energy management becomes an important concern of the Target Coverage Problem. Most existing works concentrate on scheduling sensors between sleep and active modes to maximize network life time while maintaining target coverage and consuming minimum energy. In this work, we try to develop an Energy Aware Target Coverage Protocol in which we have considered that if a target is within the receiving/ transmitting range of two or more sensors nodes, then only one of the sensor node may be initiated to cover the specific target while the other sensor nodes of that receiving/ transmitting range may not require to participate, which help to minimize participation of sensor nodes to cover the specific targets, there by consuming minimum energy. Our result analysis brings a considerable amount of energy saving without affecting the coverage problem.

Published in	International Journal on Data Science and Technology (Volume 2, Issue 2)
DOI	10.11648/j.ijdst.20160202.11
Page(s)	21-25
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2016. Published by Science Publishing Group

Keywords

Wireless Sensor Network, Target Coverage, Energy Aware

References

[1]	Sanjaya Kumar Padhiand Prasant Kumar Pattnaik, “A Novel Distributed Protocol for Randomly Deployed Clustered Based Wireless Sensor Network”, Journal of Theoretical and Applied Information Technology, Vol 15. No. 1, 2010.
[2]	X. - Y. Li, P. - J. Wan, and O. Frieder, “Coverage in Wireless Adhoc Sensor Networks”, IEEE Transactions on Computers, Vol 52 (2002), pp 753-763.
[3]	V. Raghunathan, C. Schurgers, S. Park, and M. B. Srivastava, “Energy-Aware Wireless Micro sensor Networks”, IEEE Signal Processing Magazine, 19 (2002), pp 40-50.
[4]	Zorbas, D., Glynos, D. & Douligeris, C, “Connected partial target coverage and network life time in wireless sensor networks”, Wireless Days (WD), 2009 2^nd IFIP, pp. 1–5.
[5]	D. Tianand N. D. Georganas, “A Coverage-Preserving Node Scheduling Scheme for Large Wireless Sensor Networks,” Proc. First ACM Int'l Workshop Wireless Sensor Networks and Applications, pp. 32-41, 2002.
[6]	S. Meguerdichian, F. Koushanfar, M. Potkonjak, and M. Srivastava, “Coverage Problems in Wireless Adhoc Sensor Networks”, IEEE Info com (2001), pp 1380-1387.
[7]	X. Wang, G. Xing, Y. Zhang, C. Lu, R. Pless and C. D. Gill, “Integrated Coverage and Connectivity Configuration in Wireless Sensor Networks,” Proceedings of the 1^st International Conference on Embedded Networked Sensor Systems, Los Angeles, 2003, pp. 28-39.
[8]	M. Cardei and D. - Z. Du, “Improving Wireless Sensor Network Life time through Power Aware Organization”, ACM Wireless Networks, Vol. 11, No. 3, pp. 333-340, May 2005.
[9]	K. Kar and S. Banerjee, “Node Placement for Connected Coverage in Sensor Networks”, Proc. Of WiOpt 2003: Modeling and Optimization in Mobile AdHoc and Wireless Networks (2003).
[10]	Yu Gu, Jie Li, Baohua Zhao, and Yusheng Ji, "Target Coverage Problem in Wireless Sensor Networks: A Column Generation Based Approach," in Proceedings of 6^th IEEE International Conference on Mobile Ad-hoc and Sensor Systems (2009).

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APA Style

Raghvendra Kumar, Prasant Kumar Pattnaik, Priyanka Pandey. (2016). Some Target Coverage Issues of Wireless Sensor Network. International Journal on Data Science and Technology, 2(2), 21-25. https://doi.org/10.11648/j.ijdst.20160202.11

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ACS Style

Raghvendra Kumar; Prasant Kumar Pattnaik; Priyanka Pandey. Some Target Coverage Issues of Wireless Sensor Network. Int. J. Data Sci. Technol. 2016, 2(2), 21-25. doi: 10.11648/j.ijdst.20160202.11

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AMA Style

Raghvendra Kumar, Prasant Kumar Pattnaik, Priyanka Pandey. Some Target Coverage Issues of Wireless Sensor Network. Int J Data Sci Technol. 2016;2(2):21-25. doi: 10.11648/j.ijdst.20160202.11

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@article{10.11648/j.ijdst.20160202.11,
  author = {Raghvendra Kumar and Prasant Kumar Pattnaik and Priyanka Pandey},
  title = {Some Target Coverage Issues of Wireless Sensor Network},
  journal = {International Journal on Data Science and Technology},
  volume = {2},
  number = {2},
  pages = {21-25},
  doi = {10.11648/j.ijdst.20160202.11},
  url = {https://doi.org/10.11648/j.ijdst.20160202.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijdst.20160202.11},
  abstract = {Recent improvements in technologies have a considerable impaction advancing the state of wireless sensor networks, which constitute the platform of broad range of applications related to national Security, Habitat Monitoring, Environment observation and forecasting, Health Applications, Home and Office Applications. An important problem receiving increased consideration recently is the target cover age problem, which is concerned with random deployment of sensor nodes for monitoring the specific targets for maximum duration. These small sized sensor nodes have limited resources in terms of energy, memory, computational speed and bandwidth; and can’t withstand extreme environmental conditions. Therefore, more number of sensor nodes is deployed than the specific requirements in order to improve fault to clearance of the sensor network. However, this high redundancy of sensor nodes can lead to excessive energy wastage. Since the nodes have limited energy resources and each sensor node requires a specific amount of energy to monitor a target, judicious energy management becomes an important concern of the Target Coverage Problem. Most existing works concentrate on scheduling sensors between sleep and active modes to maximize network life time while maintaining target coverage and consuming minimum energy. In this work, we try to develop an Energy Aware Target Coverage Protocol in which we have considered that if a target is within the receiving/ transmitting range of two or more sensors nodes, then only one of the sensor node may be initiated to cover the specific target while the other sensor nodes of that receiving/ transmitting range may not require to participate, which help to minimize participation of sensor nodes to cover the specific targets, there by consuming minimum energy. Our result analysis brings a considerable amount of energy saving without affecting the coverage problem.},
 year = {2016}
}

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TY  - JOUR
T1  - Some Target Coverage Issues of Wireless Sensor Network
AU  - Raghvendra Kumar
AU  - Prasant Kumar Pattnaik
AU  - Priyanka Pandey
Y1  - 2016/02/19
PY  - 2016
N1  - https://doi.org/10.11648/j.ijdst.20160202.11
DO  - 10.11648/j.ijdst.20160202.11
T2  - International Journal on Data Science and Technology
JF  - International Journal on Data Science and Technology
JO  - International Journal on Data Science and Technology
SP  - 21
EP  - 25
PB  - Science Publishing Group
SN  - 2472-2235
UR  - https://doi.org/10.11648/j.ijdst.20160202.11
AB  - Recent improvements in technologies have a considerable impaction advancing the state of wireless sensor networks, which constitute the platform of broad range of applications related to national Security, Habitat Monitoring, Environment observation and forecasting, Health Applications, Home and Office Applications. An important problem receiving increased consideration recently is the target cover age problem, which is concerned with random deployment of sensor nodes for monitoring the specific targets for maximum duration. These small sized sensor nodes have limited resources in terms of energy, memory, computational speed and bandwidth; and can’t withstand extreme environmental conditions. Therefore, more number of sensor nodes is deployed than the specific requirements in order to improve fault to clearance of the sensor network. However, this high redundancy of sensor nodes can lead to excessive energy wastage. Since the nodes have limited energy resources and each sensor node requires a specific amount of energy to monitor a target, judicious energy management becomes an important concern of the Target Coverage Problem. Most existing works concentrate on scheduling sensors between sleep and active modes to maximize network life time while maintaining target coverage and consuming minimum energy. In this work, we try to develop an Energy Aware Target Coverage Protocol in which we have considered that if a target is within the receiving/ transmitting range of two or more sensors nodes, then only one of the sensor node may be initiated to cover the specific target while the other sensor nodes of that receiving/ transmitting range may not require to participate, which help to minimize participation of sensor nodes to cover the specific targets, there by consuming minimum energy. Our result analysis brings a considerable amount of energy saving without affecting the coverage problem.
VL  - 2
IS  - 2
ER  -

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Author Information

Raghvendra Kumar

Department of Computer Science and Engineering, Lakshmi Narain College of Technology, Jabalpur, M.P., India
Prasant Kumar Pattnaik

School of Computer Engineering, Kalinga Institute of Industrial Technology University, Bhubaneswar, Odisha, India
Priyanka Pandey

Department of Computer Science and Engineering, Takshshila Institute of Engineering and Technology, Jabalpur, M.P., India

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APA Style

Raghvendra Kumar, Prasant Kumar Pattnaik, Priyanka Pandey. (2016). Some Target Coverage Issues of Wireless Sensor Network. International Journal on Data Science and Technology, 2(2), 21-25. https://doi.org/10.11648/j.ijdst.20160202.11

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ACS Style

Raghvendra Kumar; Prasant Kumar Pattnaik; Priyanka Pandey. Some Target Coverage Issues of Wireless Sensor Network. Int. J. Data Sci. Technol. 2016, 2(2), 21-25. doi: 10.11648/j.ijdst.20160202.11

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AMA Style

Raghvendra Kumar, Prasant Kumar Pattnaik, Priyanka Pandey. Some Target Coverage Issues of Wireless Sensor Network. Int J Data Sci Technol. 2016;2(2):21-25. doi: 10.11648/j.ijdst.20160202.11

Copy | Download

@article{10.11648/j.ijdst.20160202.11,
  author = {Raghvendra Kumar and Prasant Kumar Pattnaik and Priyanka Pandey},
  title = {Some Target Coverage Issues of Wireless Sensor Network},
  journal = {International Journal on Data Science and Technology},
  volume = {2},
  number = {2},
  pages = {21-25},
  doi = {10.11648/j.ijdst.20160202.11},
  url = {https://doi.org/10.11648/j.ijdst.20160202.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijdst.20160202.11},
  abstract = {Recent improvements in technologies have a considerable impaction advancing the state of wireless sensor networks, which constitute the platform of broad range of applications related to national Security, Habitat Monitoring, Environment observation and forecasting, Health Applications, Home and Office Applications. An important problem receiving increased consideration recently is the target cover age problem, which is concerned with random deployment of sensor nodes for monitoring the specific targets for maximum duration. These small sized sensor nodes have limited resources in terms of energy, memory, computational speed and bandwidth; and can’t withstand extreme environmental conditions. Therefore, more number of sensor nodes is deployed than the specific requirements in order to improve fault to clearance of the sensor network. However, this high redundancy of sensor nodes can lead to excessive energy wastage. Since the nodes have limited energy resources and each sensor node requires a specific amount of energy to monitor a target, judicious energy management becomes an important concern of the Target Coverage Problem. Most existing works concentrate on scheduling sensors between sleep and active modes to maximize network life time while maintaining target coverage and consuming minimum energy. In this work, we try to develop an Energy Aware Target Coverage Protocol in which we have considered that if a target is within the receiving/ transmitting range of two or more sensors nodes, then only one of the sensor node may be initiated to cover the specific target while the other sensor nodes of that receiving/ transmitting range may not require to participate, which help to minimize participation of sensor nodes to cover the specific targets, there by consuming minimum energy. Our result analysis brings a considerable amount of energy saving without affecting the coverage problem.},
 year = {2016}
}

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TY  - JOUR
T1  - Some Target Coverage Issues of Wireless Sensor Network
AU  - Raghvendra Kumar
AU  - Prasant Kumar Pattnaik
AU  - Priyanka Pandey
Y1  - 2016/02/19
PY  - 2016
N1  - https://doi.org/10.11648/j.ijdst.20160202.11
DO  - 10.11648/j.ijdst.20160202.11
T2  - International Journal on Data Science and Technology
JF  - International Journal on Data Science and Technology
JO  - International Journal on Data Science and Technology
SP  - 21
EP  - 25
PB  - Science Publishing Group
SN  - 2472-2235
UR  - https://doi.org/10.11648/j.ijdst.20160202.11
AB  - Recent improvements in technologies have a considerable impaction advancing the state of wireless sensor networks, which constitute the platform of broad range of applications related to national Security, Habitat Monitoring, Environment observation and forecasting, Health Applications, Home and Office Applications. An important problem receiving increased consideration recently is the target cover age problem, which is concerned with random deployment of sensor nodes for monitoring the specific targets for maximum duration. These small sized sensor nodes have limited resources in terms of energy, memory, computational speed and bandwidth; and can’t withstand extreme environmental conditions. Therefore, more number of sensor nodes is deployed than the specific requirements in order to improve fault to clearance of the sensor network. However, this high redundancy of sensor nodes can lead to excessive energy wastage. Since the nodes have limited energy resources and each sensor node requires a specific amount of energy to monitor a target, judicious energy management becomes an important concern of the Target Coverage Problem. Most existing works concentrate on scheduling sensors between sleep and active modes to maximize network life time while maintaining target coverage and consuming minimum energy. In this work, we try to develop an Energy Aware Target Coverage Protocol in which we have considered that if a target is within the receiving/ transmitting range of two or more sensors nodes, then only one of the sensor node may be initiated to cover the specific target while the other sensor nodes of that receiving/ transmitting range may not require to participate, which help to minimize participation of sensor nodes to cover the specific targets, there by consuming minimum energy. Our result analysis brings a considerable amount of energy saving without affecting the coverage problem.
VL  - 2
IS  - 2
ER  -

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