Lili Zhang

Work place: Institute of Communication and Information Systems College of Computer and Information Engineering Hohai University, Nanjing, 210098 China

E-mail: lilzhang@hhu.edu.cn

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Research Interests:

Biography

Author Articles
Adaptive HEC-VPS: The Real-time Reliable Wireless Multimedia Multicast Scheme

By Guoping Tan Yueheng Li Lili Zhang Yong Lu

DOI: https://doi.org/10.5815/ijwmt.2012.04.03, Pub. Date: 15 Aug. 2012

To satisfy the reliability of real-time wireless multimedia multicast services, the existing erasure error correction schemes usually assume that the packet size in transmissions is fixed. However, recent studies have shown that Variable Packet Size (VPS) can deeply influence the performance of unicast wireless services. Accordingly, using a delay-limited general architecture of EEC for real-time wireless multicast, this paper proposes an Adaptive Hybrid Error Correction (AHEC) scheme with VPS. Comparing with the AHEC schemes with fixed packet size, the analysis results show that the AHEC with VPS scheme can improve the throughput by about 10% in some cases.

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Polynomial Algorithm for Node Deployment in Hybrid Wireless Sensor Networks

By Lili Zhang Jing Yuan Yingchi Mao Xiwei Zhang Guihai Chen

DOI: https://doi.org/10.5815/ijwmt.2011.03.02, Pub. Date: 15 Jun. 2011

When detecting a target or monitoring a physical phenomenon in a region, the deployment problem is fundamental in these applications. Traditionally, stationary sensor networks are deployed to carry out the sensing operations. It is well known that the mobility of sensor nodes can improve the coverage and the probability of the detecting, so we deal with the problem of detecting a target using hybrid sensor networks which contain both stationary sensors and mobile sensors. In this paper, to begin with, we prove that the node deployment problem is NP-complete. Then, one polynomial algorithm for node deployment in hybrid wireless sensor networks is proposed, which aims at minimizing the number of all sensors to reduce the cost. The simulations verify the efficiency of our algorithm.

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