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Optimal hierarchical energy efficient design for MANETs
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Source International Conference On Communications And Mobile Computing archive
Proceedings of the 2006 international conference on Wireless communications and mobile computing table of contents
Vancouver, British Columbia, Canada
SESSION: M2-E: ad hoc-routing, clustering & scalability table of contents
Pages: 287 - 292  
Year of Publication: 2006
ISBN:1-59593-306-9
Authors
Wasim El-Hajj  Western Michigan University, Kalamazoo, MI
Dionysios Kountanis  Western Michigan University, Kalamazoo, MI
Ala Al-Fuqaha  Western Michigan University, Kalamazoo, MI
Hani Harbi  UAE University, United Arab Emirates
Sponsor
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

Due to the growing interest in mobile wireless Ad-Hoc networks' (MANETs) applications, researchers have proposed many routing protocols that differ in their objective. Energy efficiency and scalability are two of the most important objectives. In our previous work, we proposed a fuzzy based hierarchical energy efficient routing protocol (FEER) for large scale MANETs that aims to maximize the network's lifetime and increase its scalability. The problem has two parts: the clustering part and the routing part. In the first part, we cluster the network into two levels of hierarchy (cluster heads and normal nodes), connect the cluster heads (backbone) with each other, and connect the normal nodes to the cluster heads while maximizing the network lifetime. In the second part, we design energy efficient routing that uses the hierarchical structure. We call the first part, the energy efficient clustering problem (EEC). In this paper, we formulate three variations of EEC as integer linear programming (ILP) problems. We first consider a network with a fully connected backbone (EEC-FCB). Then, we relax the fully connected constraint and consider a network with a connected backbone (EEC-CB), not necessarily fully connected. Finally, we consider a more reliable network (EEC-R) by electing a backup cluster head for each cluster.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Wasim El-Hajj: colleagues
Dionysios Kountanis: colleagues
Ala Al-Fuqaha: colleagues
Hani Harbi: colleagues