Comparison of broadcasting techniques for mobile ad hoc networks
Proceedings of the 3rd ACM international symposium on Mobile ad hoc networking & computing
Multipoint Relaying for Flooding Broadcast Messages in Mobile Wireless Networks
HICSS '02 Proceedings of the 35th Annual Hawaii International Conference on System Sciences (HICSS'02)-Volume 9 - Volume 9
Localized techniques for broadcasting in wireless sensor networks
Proceedings of the 2004 joint workshop on Foundations of mobile computing
Extended Multipoint Relays to Determine Connected Dominating Sets in MANETs
IEEE Transactions on Computers
Algorithms for minimum m-connected k-tuple dominating set problem
Theoretical Computer Science
Modeling of Broadcasting Based on Distance Scheme for WSN
NCM '09 Proceedings of the 2009 Fifth International Joint Conference on INC, IMS and IDC
Improved flooding of broadcast messages using extended multipoint relaying
Journal of Network and Computer Applications
A link stability-based multicast routing protocol for wireless mobile ad hoc networks
Journal of Network and Computer Applications
Using an evolutionary algorithm to optimize the broadcasting methods in mobile ad hoc networks
Journal of Network and Computer Applications
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Broadcasting in wireless sensor networks (WSNs) is the dissemination of packets from one node to all nodes in the network. This flooding causes redundant data and broadcast storm problems. To counteract this effect, many methods have been introduced to minimize the redundancy, such as MPR (MultiPoint Relay) or DS-MPR (Connected Dominating Sets with MPR). These methods stipulate that a packet is correctly received if the receiver node is in the transmission radius of the sender node. But this fact is not always true, due to many factors like signal attenuation, noise and existence of obstacles. This paper focuses on DS-MPR. Firstly, we test it in a realistic environment to show its limit in terms of reachability. Secondly, we introduce a modification of DS-MPR to be applicable with a realistic physical layer. Our heuristic method is called RDS-MPR (Realistic DS-MPR). This heuristic has improved DS-MPR in reachability, which may exceed more than 94%. Finally, we introduce an extension of RDS-MPR, called eRDS-MPR (extended RDS-MPR) which provides a reachability of up to more than 97%.