Titlebook: Wireless Algorithms, Systems, and Applications; 7th International Co Xinbing Wang,Rong Zheng,Kai Xing Conference proceedings 2012 Springer-

蜿蜒而流

Fast Group Communication Scheduling in Duty-Cycled Multihop Wireless Sensor Networks,ltiple consecutive time-slots into periods. Each node can transmit data at any time-slot while it only wakes up at its active time-slot of every period and thus be allowed to receive data. Under the protocol interference model, we investigate four group communication patterns, .., broadcast, data ag

迅速飛過

Reliable Cooperative Sensing in Cognitive Networks,ne effective method to mitigate the SSDF attacks is the q-out-of-m fusion scheme, where the final decision is based on . sensing reports from . polled users. In this paper, first, we derive the asymptotic behavior of the fusion scheme as the network size increases. It is found that the false alarm r

騷動(dòng)

Heterogeneous Multicast Networks with Wireless Helping Networks,However, sometimes these wired infrastructures are too expensive or even infeasible. In this paper, we use wireless helping networks to enhance the throughput performance of ad hoc networks. We focus on heterogeneous multicast networks with wireless helping networks. The heterogeneity refers to the

怪物

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Routing for Information Leakage Reduction in Multi-channel Multi-hop Ad-Hoc Social Networks, information through a route with a minimal probability of being overheard by non-destination users. To achieve this objective, we propose a routing algorithm to reduce the information leakage. The performance of our design is evaluated through simulation studies.

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多樣

Minimum Total Communication Power Connected Dominating Set in Wireless Networks,on power. We show this problem is NP-hard and propose two distributed algorithms. Especially, the first algorithm, MST-MTCPCDS, has a worst case performance guarantee. A simulations is conducted to evaluate the performance of our algorithms.

intelligible

Fast Group Communication Scheduling in Duty-Cycled Multihop Wireless Sensor Networks,gregation, data gathering, and gossiping. For each pattern, we develop a delay efficient scheduling algorithm which greatly improve the current state-of-the-art algorithm. Additionally, we propose a novel and efficient design to coherently couple the wireless interference requirement and duty cycle requirement.

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