期刊
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS
卷 24, 期 9, 页码 1741-1751出版社
IEEE COMPUTER SOC
DOI: 10.1109/TPDS.2012.264
关键词
Communication energy optimization; heterogeneous wireless networks; geometric programming; joint packet size analysis
资金
- US National Science Foundation [ECCS-0901437, CNS-0916994]
- National Natural Science Foundation of China [61173178, 61070246]
- Fundamental Research Funds for the Central Universities [XDJK2013C116]
- Division Of Computer and Network Systems
- Direct For Computer & Info Scie & Enginr [1253506] Funding Source: National Science Foundation
In this paper, we present an optimal packet size solution that optimizes the communication energy consumption in the heterogeneous wireless networks. More specifically, we consider a heterogeneous network system composed of a body sensor network (BSN) and a WiFi network. Then, based on the analysis of data communication in the BSN and WiFi (BSN-WiFi) network, we formulate a communication energy consumption optimization model with the constraints of throughput and time delay. Mathematically, we convert this model into a geometric programming problem, which is then numerically solved. The optimal solution can be applied in both BSN and WiFi network to dynamically select packet payload sizes according to real-time packet delivery ratios (PDRs). Since PDRs are time-varying, we tabulate a packet payload size lookup table for online packet size selection using PDRs as indices. Finally, we collect PDRs from a deployed BSN-WiFi network and evaluate the energy optimization model. The performance evaluation results show that, in comparison with fixed packet size solutions, our optimal solutions achieve up to 70 percent energy savings in a BSN(TDMA)-WiFi network and 68 percent in a BSN(CSMA)-WiFi network.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据