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Ad-hoc multicast routing on resource-limited sensor nodes
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Source International Symposium on Mobile Ad Hoc Networking & Computing archive
Proceedings of the 2nd international workshop on Multi-hop ad hoc networks: from theory to reality table of contents
Florence, Italy
SESSION: Sensor networks table of contents
Pages: 87 - 94  
Year of Publication: 2006
ISBN:1-59593-360-3
Authors
Bor-rong Chen  Harvard University Cambridge, MA
Kiran-Kumar Muniswamy-Reddy  Harvard University Cambridge, MA
Matt Welsh  Harvard University Cambridge, MA
Sponsors
ACM: Association for Computing Machinery
SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing
Publisher
ACM  New York, NY, USA
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ABSTRACT

Many emerging sensor network applications involve mobile nodes with communication patterns requiring any-to-any routing topologies. We should be able to build upon the MANET work to implement these systems. However, translating these protocols into real implementations on resource-constrained sensor nodes raises a number of challenges. In this paper, we present the lessons learned from implementing one such protocol, Adaptive Demand-driven Multicast Routing (ADMR), on CC2420-based motes using the TinyOS operating system. ADMR was chosen because it supports multicast communication, a critical requirement for many pervasive and mobile applications. To our knowledge, ours is the first non-simulated implementation of ADMR. Through extensive measurement on Motelab, we present the performance of the implementation, TinyADMR, under a wide range of conditions. We highlight the real-world impact of path selection metrics, radio link asymmetry, protocol overhead, and limited routing table size.


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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Bor-rong Chen, Kiran-Kumar Muniswamy-Reddy, and Matt Welsh. Lessons Learned from Implementing Ad-Hoc Multicast Routing in Sensor Networks. Harvard University Technical Report TR-22-05, November 2005.


Collaborative Colleagues:
Bor-rong Chen: colleagues
Kiran-Kumar Muniswamy-Reddy: colleagues
Matt Welsh: colleagues