Peng Shaoliang

Energy efficient multipath routing using network coding in wireless sensor networks

Multipath is a sought-after mechanism to achieve reliability along the error-prone channel in wireless sensor networks. However, this technique is not energy efficient since sensor networks are subject to strict resource constraints. In this paper, we propose an energy aware method to combine multipath routing with practical network coding technique. Through this method, we can guarantee the same reliability while reduce much energy consumption by decreasing the number of paths needed to delivery data. This method only needs little metadata overhead and some small-scale linear operations. Simulations under different circumstances verify the theoretical results. The paper also discusses other advantages of network coding in multi-receiver case to illustrate our future work.Multipath is a sought-after mechanism to achieve reliability along the error-prone channel in wireless sensor networks. However, this technique is not energy efficient since sensor networks are subject to strict resource constraints. In this paper, we propose an energy aware method to combine multipath routing with practical network coding technique. Through this method, we can guarantee the same reliability while reduce much energy consumption by decreasing the number of paths needed to delivery data. This method only needs little metadata overhead and some small-scale linear operations. Simulations under different circumstances verify the theoretical results. The paper also discusses other advantages of network coding in multi-receiver case to illustrate our future work.

Credit based Fairness Control in Wireless Sensor Network

Fairness is an essential problem in congestion control, which is to ensure all data sources have equal or weighted access to end-to-end network bandwidth. In this paper, we propose a practical fairness model CFRC to allocate congested bandwidth based on the credit of each sensor source instead of uniformly. Credit represents the effective amount of sensed information of packet generated in sensor source. In CFRC, a low-cost credit computation method ACCA is proposed for each source node to compute its credit locally based on the sensed area of it and its neighbors; Aggregation node computes the credit of aggregated packets using simple sum operation. Furthermore, an interferer aware fair rate allocation algorithm IFRA is proposed in CFRC to allocated bandwidth not only among all upstream neighbors, but also among congested nodes and its interferers. Simulation results verify the performance of CFRC.

A Delay Sensitive Feedback Control Data Aggregation Approach in Wireless Sensor Network

In wireless sensor networks (WSN) real-time data delivery is a challenging issue, especially when bursty events happen and many emergent packets appear. The cluster-based data aggregation has emerged as a basic and general technique in sensor networks. However, there is a trade-off issue between aggregation waiting (AW) delay and aggregation accuracy. Therefore, we propose a Delay Sensitive Feedback Control (DSFC) model to solve the trade-off issue. Our goal is to decrease the AW delay on the condition of meeting the desired aggregation accuracy for emergent packets when emergent event occurs. Simulation results verify the performance of DSFC, and demonstrate their attraction.

Feedback control with prediction for thread allocation in pipeline architecture web server

With the sharply development of high-speed backbone network and phenomenal growth of Web applications, many kinds of Web server structures have been advanced and implemented to increase the serving ability of Web server. In this paper, we propose a pipeline architecture multi-thread web server open KETA which divides the requests processing into several independent phases. This architecture reduces parallelism granularity and achieves inner-request parallelism to enhance its processing capability. Furthermore, a combined feed-forward/feedback model is designed to manage thread allocation in this special architecture. The feed-forward predictor relates instantaneous measurements of queue length and processing rate of each pipeline phase to the thread allocation over a finite prediction horizon. The feedback controller deals with the uncertainty the predictor brings and improves open KETAs performance farther. Experimental results show the capability of open KETA and the effectiveness of the thread allocation model.

Path selection of reliable data delivery in wireless sensor networks

Multipath is a sought-after mechanism to achieve reliability along the error-prone channel in wireless sensor networks. However, its benefits are not easily explored because the critical energy constraints and the multipath interference. In this paper, we first prove that finding several disjoint paths with minimum energy consumption is an NP-complete problem, then give the near-optimal solution on how to choose path based on the accurate energy model. Furthermore, we make use of the multi-frequency characteristic of CC2420 radio and propose IEMM-FA to minimize interference and energy consumption of multiple paths. Simulation results verify its performance.Multipath is a sought-after mechanism to achieve reliability along the error-prone channel in wireless sensor networks. However, its benefits are not easily explored because the critical energy constraints and the multipath interference. In this paper, we first prove that finding several disjoint paths with minimum energy consumption is an NP-complete problem, then give the near-optimal solution on how to choose path based on the accurate energy model. Furthermore, we make use of the multi-frequency characteristic of CC2420 radio and propose IEMM-FA to minimize interference and energy consumption of multiple paths. Simulation results verify its performance.