$D$, we first characterize the optimal multicast capacity for each of the eight types of mobility models, and then we develop a scheme that can achieve a capacity-delay tradeoff close to the upper bound up to a logarithmic factor. In addition, we also study heterogeneous networks with infrastructure support." /> $D$, we first characterize the optimal multicast capacity for each of the eight types of mobility models, and then we develop a scheme that can achieve a capacity-delay tradeoff close to the upper bound up to a logarithmic factor. In addition, we also study heterogeneous networks with infrastructure support." /> $D$, we first characterize the optimal multicast capacity for each of the eight types of mobility models, and then we develop a scheme that can achieve a capacity-delay tradeoff close to the upper bound up to a logarithmic factor. In addition, we also study heterogeneous networks with infrastructure support." /> Optimal Multicast Capacity and DelayTradeoffs in MANETs
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Issue No.05 - May (2014 vol.13)
pp: 1104-1117
Jinbei Zhang , Dept. of Electron. Eng., Shanghai Jiao Tong Univ., Shanghai, China
Xinbing Wang , Dept. of Electron. Eng., Shanghai Jiao Tong Univ., Shanghai, China
Xiaohua Tian , Dept. of Electron. Eng., Shanghai Jiao Tong Univ., Shanghai, China
Yun Wang , Dept. of Electron. Eng., Shanghai Jiao Tong Univ., Shanghai, China
Xiaoyu Chu , Dept. of Electron. Eng., Shanghai Jiao Tong Univ., Shanghai, China
Yu Cheng , Dept. of Electr. & Comput. Eng., Illinois Inst. of Technol., Chicago, IL, USA
ABSTRACT
In this paper, we give a global perspective of multicast capacity and delay analysis in Mobile Ad Hoc Networks (MANETs). Specifically, we consider four node mobility models: (1) two-dimensional i.i.d. mobility, (2) two-dimensional hybrid random walk, (3) one-dimensional i.i.d. mobility, and (4) one-dimensional hybrid random walk. Two mobility time-scales are investigated in this paper: (i) fast mobility where node mobility is at the same time-scale as data transmissions and (ii) slow mobility where node mobility is assumed to occur at a much slower time-scale than data transmissions. Given a delay constraint D, we first characterize the optimal multicast capacity for each of the eight types of mobility models, and then we develop a scheme that can achieve a capacity-delay tradeoff close to the upper bound up to a logarithmic factor. In addition, we also study heterogeneous networks with infrastructure support.
INDEX TERMS
Relays, Base stations, Mobile computing, Delay, Upper bound, Mobile nodes,heterogeneous networks, Multicast capacity and delay tradeoffs, Mobile ad hoc networks (MANETs), independent and identically distributed (i.i.d.) mobility models, hybrid random walk mobility models, capacity achieving schemes
CITATION
Jinbei Zhang, Xinbing Wang, Xiaohua Tian, Yun Wang, Xiaoyu Chu, Yu Cheng, "Optimal Multicast Capacity and DelayTradeoffs in MANETs", IEEE Transactions on Mobile Computing, vol.13, no. 5, pp. 1104-1117, May 2014, doi:10.1109/TMC.2013.16