Distributed Weight Based Clustering with Efficient Channel Access to Improve Quality of Service in Mobile Ad-Hoc Networks (DWCA)

Mobile ad hoc network is a set of mobile nodes connecting with each other without physical infrastructure and centralized computing. Factors such as variable wireless link quality, propagation path loss, fading, multiuser interference, power expended, and topological changes, become relevant issues. Quality of Service (QoS) is a set of service requirements that needs to be met by the network while transporting a packet stream from a source to its destination. QoS support for Mobile Adhoc Networks (MANETs) is a challenging task due to the dynamic topology and limited resources. The clustering algorithm presents a logical topology to the routing algorithm, and it accepts feedback from routing algorithm in order to adjust that logical topology and make clustering decisions. In this algorithm we have introduced a new metric, next hop availability, which is a combination of two metrics. It maximizes path availability and minimizes travel time of packets and therefore offers a good balance between selection of fast paths and a better use of network resources. In the conclusion it provides simulation result of DWCA Algorithm performed on network simulator.

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

[2]  Konstantinos Kalpakis,et al.  An efficient clustering-based heuristic for data gathering and aggregation in sensor networks , 2003, 2003 IEEE Wireless Communications and Networking, 2003. WCNC 2003..

[3]  Catherine Rosenberg,et al.  Design guidelines for wireless sensor networks: communication, clustering and aggregation , 2004, Ad Hoc Networks.

[4]  Edward J. Coyle,et al.  An energy efficient hierarchical clustering algorithm for wireless sensor networks , 2003, IEEE INFOCOM 2003. Twenty-second Annual Joint Conference of the IEEE Computer and Communications Societies (IEEE Cat. No.03CH37428).

[5]  B. Kadri,et al.  Secured Clustering Algorithm for Mobile Ad Hoc Networks , 2007 .

[6]  Refik Molva,et al.  Core: a collaborative reputation mechanism to enforce node cooperation in mobile ad hoc networks , 2002, Communications and Multimedia Security.

[7]  Mohamed F. Younis,et al.  A survey on routing protocols for wireless sensor networks , 2005, Ad Hoc Networks.

[8]  Nidal Nasser,et al.  Comparison of Clustering Algorithms and Protocols for Wireless Sensor Networks , 2006, 2006 Canadian Conference on Electrical and Computer Engineering.

[9]  Deborah Estrin,et al.  Highly-resilient, energy-efficient multipath routing in wireless sensor networks , 2001, MOCO.

[10]  Mario Gerla,et al.  Adaptive Clustering for Mobile Wireless Networks , 1997, IEEE J. Sel. Areas Commun..

[11]  Curtis A. Siller,et al.  The president's page - Membership development programs , 2005, IEEE Commun. Mag..

[12]  Sajal K. Das,et al.  A framework for energy-saving data gathering using two-phase clustering in wireless sensor networks , 2004, The First Annual International Conference on Mobile and Ubiquitous Systems: Networking and Services, 2004. MOBIQUITOUS 2004..

[13]  Ossama Younis,et al.  Distributed clustering in ad-hoc sensor networks: a hybrid, energy-efficient approach , 2004, IEEE INFOCOM 2004.

[14]  Pat Morin,et al.  Improving Distance Based Geographic Location Techniques in Sensor Networks , 2004, ADHOC-NOW.

[15]  Gaurav S. Sukhatme,et al.  Connecting the Physical World with Pervasive Networks , 2002, IEEE Pervasive Comput..

[16]  Abraham O. Fapojuwo,et al.  A centralized energy-efficient routing protocol for wireless sensor networks , 2005, IEEE Communications Magazine.

[17]  Jain-Shing Liu,et al.  Energy-efficiency clustering protocol in wireless sensor networks , 2005, Ad Hoc Networks.

[18]  Catherine Rosenberg,et al.  A minimum cost heterogeneous sensor network with a lifetime constraint , 2005, IEEE Transactions on Mobile Computing.

[19]  Jun Luo,et al.  Joint mobility and routing for lifetime elongation in wireless sensor networks , 2005, Proceedings IEEE 24th Annual Joint Conference of the IEEE Computer and Communications Societies..

[20]  Chenyang Lu,et al.  SPEED: a stateless protocol for real-time communication in sensor networks , 2003, 23rd International Conference on Distributed Computing Systems, 2003. Proceedings..