Journal of Computer Networks
ISSN (Print): 2372-4749 ISSN (Online): 2372-4757 Website: Editor-in-chief: Sergii Kavun, Naima kaabouch
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Journal of Computer Networks. 2013, 1(1), 10-14
DOI: 10.12691/jcn-1-1-2
Open AccessArticle

QoS Routing Algorithm with Sleep Mode in MANETs

Akhilesh A. Waoo, Dr. P.S. Patheja, Dr. Sanjay Sharma and Tripti Nema,

Pub. Date: March 21, 2013

Cite this paper:
Akhilesh A. Waoo, Dr. P.S. Patheja, Dr. Sanjay Sharma and Tripti Nema. QoS Routing Algorithm with Sleep Mode in MANETs. Journal of Computer Networks. 2013; 1(1):10-14. doi: 10.12691/jcn-1-1-2


MANET became the focus of researchers as an assurance technology for a broad range of due to their self-managing and self-configuring multi-hop wireless networks since the nodes are mobile, the network topology may change rapidly and unpredictably over time. An ad hoc network, or MANET (Mobile Ad-hoc Network), is a network contain only of nodes, with no Access Point. One significant area of research within ad hoc networks is energy consumption concern. The primary aim of ad hoc networks is to call for the energy-constrained protocols. Energy consumption evaluation methodology is set up for the protocol consideration in different mobile network. AODV routing protocol carry out well on assessment of energy consumption for the mobile ad hoc network with high node mobility. Nodes in MANET networks are basically battery operated, and thus have way in to a limited amount of energy. This process recommended an Energy based Ad-Hoc on-Demand Routing algorithm that balances energy among nodes so that a minimum energy level is maintained among nodes and the lifetime of network is enhanced. This paper, aim on increasing the prolonged existence of node in the network in our proposed algorithm, QS (QoS Scheme for MANET’s), addresses the issue of energy consumption in a manner fair to all network nodes. In our proposed scheme “energy aware routing” QS is suggested to use. The QS makes sure the connected and neighboring nodes to use it as forwarding node. Also, it checks the node with higher energy to make it applicant for forwarding purpose. From a functional point of view, QS can be consisting of two main units: One of these units deal with the energy conservation operation. This is done through uphold the nodes’ threshold energy levels to minimize the packet loss due to link breaks. The other aspect of the algorithm takes care of connectivity using routing protocol. It helps to guarantee the routing protocol makes routing decisions that serve a specific goal. The construct of network scenarios and performance study is done on NS-2.34 to simulate both the AODV and AODV-Sleep under the similar scenario. This paper also compares and analyzes the simulation results with a popular on-demand routing protocol AODV to show the utility of this algorithm. From this simulation one finds that the overall MANET’s efficiency is maximized.

mobile ad-hoc networks AODV routing protocols energy consumption sleep mode mobility models simulation analysis

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[1]  C. Perkins and P. Bhagwat, “Highly dynamic destination-sequenced distance-vector routing (DSDV) for mobile computers,” in ACM SIGCOMM'94 Conference on Communications Architectures, Protocols and Applications, 1994, pp. 234-244, 1994.
[2]  D.B. Johnson and D.A. Maltz, “Dynamic source routing in ad hoc wireless networks,” in Mobile Computing, Imielinski and Korth, Eds. Kluwer Academic Publishers, vol. 353. pp. 153-181, 1996.
[3]  C. Perkins, E. Belding-Royer and S. Das, “Ad hoc On-Demand Distance Vector (AODV) Routing,” RFC 3561 (Experimental), Jul. 2003.
[4]  Tripti nema, Akhilesh waoo, PS. Patheja, Sanjay Sharma, “Energy based AODV Routing Algorithm with Sleep Mode in MANETs” International Journal of Computer Applications (0975-8887) vol.58, No.19, November 2012.
[5]  Roopal Lakhwani, Sakshi Suhane Anand Motwani, “Agent based AODV Protocol to Detect and Remove Black Hole Attacks” International Journal of Computer Applications (0975-8887) vol.59, No.8, pp. 35-39, December 2012.
[6]  J. Li, D. Cordes, and J. Zhang, "Power-aware routing protocols in ad hoc wireless networks," IEEE Trans. Wireless Commun., pp. 69-81, Dec. 2005.
[7]  Tripti nema, Akhilesh waoo, PS. Patheja, Sanjay Sharma, “Energy Efficient Adaptive Routing Algorithm in MANET with Sleep Mode”, International Journal of Advanced Computer Research, vol.2, Issue 6, pp.431, 2012.
[8]  Tai Hieng Tie, Chong Eng Tan, Sei Ping Lau “Alternate Link Maximum Energy Level Ad Hoc Distance Vector Scheme for Energy Efficient Ad Hoc Networks Routing” International Conference on Computer and Communication Engineering (ICCCE 2010), pp.1-6, 11-13 May 2010.
[9]  Sanjay Kumar Dhurandher, Sudip Misra, Mohammad S. Obaidat, Vikrant Bansal, Prithvi Singh, Vikas Punia “An Energy-Efficient On-Demand Routing Algorithm for Mobile Ad-Hoc Networks”, International Conference on Computer and Communication Engineering, pp. 995-961, Aug. 31 2008-Sept. 3 2008.
[10]  Sofian Hamad, Hadi Noureddine and Hamed Al-Raweshidy, “LSEA: Link Stability and Energy Aware for Efficient Routing in Mobile Ad Hoc Network”, Wireless Personal Multimedia Communications (WPMC), 14th International Symposium on 2011, pp. 1-5, Oct. 2011.
[11]  Björn Skubic, Alexander Lindström, Einar In de Betou, and Ioanna Pappa” Energy saving potential of cyclic sleep in optical access systems”2011 IEEE online conference on Green communication, pp. 124-127, March 30, 2011.
[12]  Dr. K. Kathiravan , V. Divya , Dr. S. Thamarai Selvi ,“ Energy Efficient Integrated Routing Protocol for MANETs”, Fifth International Conference on Mobile Ad-hoc and Sensor Networks, pp.340-346, 2009.
[13]  Dr Chandra Shekar Reddy Putta , Dr K.Bhanu Prasad , Dilli Ravilla, Murali Nath R.S, M.L.Ravi Chandra “ Performance of Ad hoc Network Routing Protocols in IEEE 802.11”ICCCT, pp. 371-376, Sep. 2010.