Call for Paper

CAE solicits original research papers for the July 2021 Edition. Last date of manuscript submission is June 30, 2021.

Read More

Lifetime Enrichment of Wireless Sensor Networks using DEMN Algorithm

B. Raji Published in Algorithms

Communications on Applied Electronics
Year of Publication: 2015
© 2014 by CAE Journal
Authors B. Raji

B Raji. Article: Lifetime Enrichment of Wireless Sensor Networks using DEMN Algorithm. Communications on Applied Electronics 1(4):39-42, March 2015. Published by Foundation of Computer Science, New York, USA. BibTeX

	author = {B. Raji},
	title = {Article: Lifetime Enrichment of Wireless Sensor Networks using DEMN Algorithm},
	journal = {Communications on Applied Electronics},
	year = {2015},
	volume = {1},
	number = {4},
	pages = {39-42},
	month = {March},
	note = {Published by Foundation of Computer Science, New York, USA}


Wireless Sensor networks are mainly used for sensing the parameters such as, temperature, dampness, demands, blustery weather direction and pace, illumination concentration, tremor intensity, noise power, power-line electrical energy, chemical attention, impurity levels and essential body functions. WSN has limited battery size. Lifetime enrichment is a significant one, because replacement of batteries is not possible in WSN. These works concentrate on techniques which are used to increase the lifetime of Wireless Sensor Networks (WSN). Many factors are taken into account for this enrichment of life time of wireless sensor networks, such as minimizing the power consumption, low cost operation, optimal routing algorithms. This work proposes an algorithm namely DEMN, which enriches the lifetime of WSN. By using DEMN algorithm, the physical queue is created and the results of real traffic volume are defined. The simulation result shows that the comparison of Distributed algorithm and DEMN algorithm.


  1. Jae-Hwan Chang, Member, IEEE, and Leandros Tassiulas, Member, IEEE," Maximum Lifetime Routing in Wireless Sensor Networks," IEEE/ACM TRANSACTIONS ON NETWORKING, VOL. 12, NO. 4, AUGUST 2004.
  2. Samra Boulfekhar • Mohammed Benmohammed, "A Novel Energy Efficient and Lifetime Maximization Routing Protocol in Wireless Sensor Networks," Published online: 10 March 2013
  3. Lu, Y. -M. , & Wong, W. -S. (2007), "An energy-efficient multipath routing protocol for wireless sensor networks," International Journal of Communication Systems, 20(7), 747–766.
  4. YoungSang Yun, Ye Xia, Behnam Behdani, and J. Cole Smith, "Distributed Algorithm for Lifetime Maximization in a Delay-Tolerant Wireless Sensor Network with a Mobile Sink," IEEE TRANSACTIONS ON MOBILE COMPUTING, VOL. 12, NO. 10, OCTOBER 2013.
  5. YoungSang Yun, Student Member, IEEE, and Ye Xia, Member, IEEE, "Maximizing the Lifetime of Wireless Sensor Networks with Mobile Sink in Delay-Tolerant Applications," IEEE TRANSACTIONS ON MOBILE COMPUTING, VOL. 9, NO. 9, SEPTEMBER 2010.
  6. Zichuan Xu ; Res. Sch. of Comput. Sci. , Australian Nat. Univ. , Canberra, ACT, Australia ; Weifa Liang ; Yinlong Xu, "Network Lifetime Maximization in Delay-Tolerant Sensor Networks with a Mobile Sink," Distributed Computing in sensor Systems (DCOSS), 2012 IEEE 8th International Conference on 16-18 May 2012.


Dampness, Demands, Blustery Weather Direction and Pace, Illumination Concentration, Tremor Intensity, Noise Power, Power-Line Electrical Energy, Chemical Attention, DEMN, Distributed Algorithm.