GPSR: greedy perimeter stateless routing for wireless networks
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
Geocasting in Mobile Ad Hoc Networks: Location-Based Multicast Algorithms
WMCSA '99 Proceedings of the Second IEEE Workshop on Mobile Computer Systems and Applications
A Highly Adaptive Distributed Routing Algorithm for Mobile Wireless Networks
INFOCOM '97 Proceedings of the INFOCOM '97. Sixteenth Annual Joint Conference of the IEEE Computer and Communications Societies. Driving the Information Revolution
Position-based multicast routing for mobile Ad-hoc networks
ACM SIGMOBILE Mobile Computing and Communications Review
Opportunistic routing in multi-hop wireless networks
ACM SIGCOMM Computer Communication Review
Performance evaluation of reliable overlay multicast in wireless sensor networks
WWIC'12 Proceedings of the 10th international conference on Wired/Wireless Internet Communication
UPS: Universal Protocol Stack for emerging wireless networks
Ad Hoc Networks
Multicast group membership management in media independent handover services
Computer Networks: The International Journal of Computer and Telecommunications Networking
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Multicast routing protocols typically rely on the apriori creation of a multicast tree (or mesh), which requires the individual nodes to maintain state information. In sensor networks where traffic is bursty, with long periods of silence between the bursts of data, this multicast state maintenance adds a large amount of overhead for no benefit to the application. Thus, we have developed a stateless receiver-based multicast protocol that simply uses a list of the multicast members (e.g., sinks), embedded in packet headers, to enable receivers to decide the best way to forward the multicast traffic. This protocol, called RBMulticast (Receiver-Based Multicast), exploits the knowledge of the geographic locations of the nodes to remove the need for costly state maintenance (e.g., tree/mesh/neighbor table maintenance), making it ideally suited for sensor network multicast applications. RBMulticast was implemented in TinyOS and tested using a sensor network implementation as well as TOSSIM simulations. Both simulation and experimental results confirm that RBMulticast provides high success rates without the burden of state maintenance.