无线传感器网络中的节能拥塞控制

Awais Ahmad, Anand Paul, Sohail Jabbar, Seungmin Rho
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引用次数: 0

摘要

避免拥塞和提供低能耗、高数据速率的可靠通信是媒体访问控制(MAC)层面临的重大挑战之一。当存在能量约束和节点的移动性时,这变得更加难以实现。本文也讨论了同样的问题。本文提出了一种用于移动无线传感器网络的分时节能拥塞控制(TSEEC)技术。时分多址协议(TDMA)和统计时分多址协议(STDMA)是该技术的主要组成部分。这有助于通过控制传感器节点的睡眠、唤醒和收听状态来节约能量。基于负载的分配和时间分配莱斯特技术有助于进一步节省网络能量,最大限度地减少网络拥塞。前者是基于STDMA协议设计的,利用传感器节点信息动态分配时隙,后者是完成传感器节点的移动管理工作。这种时间分配莱斯特技术进一步包括提取时间分配(ETA)、移回时间分配(SBTA)和转义时间分配(STA)子技术,分别用于管理节点加入和离开集群和通信数据的冗余缺失。为了控制移动传感器节点的移动,我们还引入了移动性模式作为TSEEC的一部分,这有助于使协议适应交通环境和移动性。在NS2中,以能量消耗和包投递率作为性能评价参数,对该机制与SMAC进行了比较分析和数学分析。前者的结果优于后者。并与其他MAC协议进行了比较分析。
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Energy Efficient Congestion Control in Wireless Sensor Networks
Avoiding from congestion and provision of reliable communication characterising the low energy consumption and high data rate is one of the momentous challenges at Media Access Control (MAC) layer. This become more difficult to achieve when there is energy constraint mixed with mobility of nodes. Same issue is addressed in this underlying paper. Here we have proposed a Time-Sharing Energy Efficient Congestion Control (TSEEC) technique for Mobile Wireless Sensor Networks. Time Division Multiple Access Protocol (TDMA) and Statistical Time Division Multiple Access Protocol (STDMA) are major constituents of this technique. These helps in conserving the energy by controlling the sleeping, waking up and listening states of sensor nodes. Load Based Allocation and Time Allocation Leister techniques further helps in conserving the network energy minimizing the network congestion. First mentioned technique is designed on the basis of STDMA Protocol and uses the sensor node information to dynamically assign the time slots while later said technique is does the job of mobility management of sensor node. This Time Allocation Leister techniques further comprises of Extricated Time Allocation (ETA), Shift Back Time Allocation (SBTA), and eScaped Time Allocation (STA) sub techniques for managing the joing and leaving of nodes to cluster and redundant\absence of data for communication respectively. To control the movement of mobile sensor nodes, we have also introduced mobility pattern as part of TSEEC that helps in making the protocol adaptive to traffic environment and to mobility as well. A comparitive analysis of proposed mechanism with SMAC is performed in NS2 along with mathematical anslysis by considering energy consumption, and packet deliver ratio as performance evaluation parameters. The results for the former outperforms to that of later. Moreover, comparative analysis of the proposed TSEEC with other MAC protocols is also presented.
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