Interference Aware Construction of Multi- and Convergecast Trees in Wireless Sensor Networks
NEW2AN '08 / ruSMART '08 Proceedings of the 8th international conference, NEW2AN and 1st Russian Conference on Smart Spaces, ruSMART on Next Generation Teletraffic and Wired/Wireless Advanced Networking
CBERP: cluster based energy efficient routing protocol for wireless sensor network
ICNVS'10 Proceedings of the 12th international conference on Networking, VLSI and signal processing
Performance evaluation of reliable overlay multicast in wireless sensor networks
WWIC'12 Proceedings of the 10th international conference on Wired/Wireless Internet Communication
GEographic multicast (GEM) for dense wireless networks: protocol design and performance analysis
IEEE/ACM Transactions on Networking (TON)
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Multicast is a fundamental routing service for efficient data dis- semination required for activities such as code updates, task as- signment and targeted queries in large-scale wireless sensor net- works. Recently, two protocols were proposed to optimize two or- thogonal aspects of location-based multicast protocols: GMR [1] improves the forwarding efficiency by exploiting the wireless mul- ticast advantage but it suffers from scalability issues when deal- ing with large sensor networks; HRPM [2] reduces the encoding overhead by constructing a hierarchy at virtually no maintenance cost via the use of geographic hashing but it is energy-inefficient due to inefficacies in forwarding data packets. In this paper, we present HGMR (Hierarchical Geographic Multicast Routing), a new location-based multicast protocol that seamlessly incorpo- rates the key design concepts of GMR and HRPM and optimizes them for wireless sensor networks by providing both forwarding efficiency (energy efficiency) as well as scalability to large net- works. Our simulation studies in an ideal environment and in a realistic environment confirm that HGMR exhibits the strength of both GMR and HRPM.