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MapReduce has been adopted widely in both academia and industry to run large-scale data parallel applications. In MapReduce, each slave node hosts a number of task slots to which tasks can be assigned. So they limit the maximum number of tasks that can execute concurrently on each node. When all task slots of a node are not used, the resources âreservedâ for idle slots are unutilized...
Nodes in most cooperative networks are powered by batteries and some of which are even non-rechargeable. Therefore, power allocation schemes must be developed to save the transmit power and improve the life-time of the system. In this context, we present a novel power allocation scheme for multiple relay nodes that results in efficient cooperative communication. Considering channel path loss, the...
Using proxy servers to cache and shape network traffic can significantly improve the energy efficiency of the participating mobile clients. In this paper, we analyze the implications of hosting a BitTorrent proxy on a broadband router, which pushes the content to a mobile phone over wireless radio (WLAN or 3G). The amount of memory in a router is limited and therefore our interest is on how to use...
This paper deals with the energy allocation in multi-hop wireless sensor networks. Because the traffic loads are not evenly distributed in a multi-hop wireless sensor network, different sensor nodes usually experience different energy consumption rates. We present Routing Independent Fair Energy-Allocation Scheme (RIFES), which allocates the available energy resource to a sensor node according to...
As a multimedia information acquisition and processing method, wireless multimedia sensor network (WMSN) has great application potential in military civilian. Compared with traditional wireless sensor network, the routing design of WMSN should obtain more attention on the quality of transmission. This paper proposes a reliable routing based on energy prediction (REP), which includes energy prediction...
Emerging applications in Wireless Sensor Networks (WSNs) demand notable in-network processing capacities rather than simple data gathering and dissemination. Therefore, the performances of the network like latency and energy consumption are greatly affected by how the various application requirements are mapped to the processing nodes in the network. This paper investigates intelligent task mapping...
In the paper, we study the utility-lifetime tradeoff in wireless sensor networks (WSNs) by formulating it as a constrained multi-objective optimization problem. Because of the coupling in the objective function, auxiliary variables are introduced to decouple it. We adopt Lagrange duality method to decompose the problem and regulate the rates through the link congestion price. We introduce the concept...
In this paper, we study the joint optimization problem on channel coding, power allocation, and route planning in wireless sensor networks (WSN) using dynamic programming (DP). Each sensor node has multiple antennas and applies orthogonal space time block codes (OSTBC) in order to improve the transmission reliability. A decode-and-forward protocol is adopted to relay the signals. The objective function...
In this paper, we propose the optimal resource allocation strategies for energy constrained coded cooperative networks. By combining power control and multi-relays selection with LOC adjustment, our schemes aim at providing higher QoS and extending network lifetime. We consider the TDMA based scenario where one node acts as the source and the other nodes can be selected as relay nodes in a time slot...
Energy efficiency is a critical issue in wireless sensor networks. Energy consumption can be saved by using a lower transmission power, but this also increases the channel error rate and the energy consumption on packet retransmission, as well as the packet delay. In this paper, taking retransmission in physical layer into account, we propose a cross-layer strategy to explore the tradeoff between...
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