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This paper proposes a new network-wide optimized time division multiple access (TDMA) scheduling scheme for wireless sensor networks (WSNs). It can simultaneously achieve maximum throughput and fair rate allocation given the requirement of network lifetime. To achieve this object, we first formulate the rate allocation problem based on the Lexicographic Max-Min (LMM) criterion, which takes fairness,...
Wireless sensor networks (WSNs) usually consist of a large number of power-constrained sensors deployed to collect information in a specific sensed field. How to gather data in an energy-efficient manner is always a very important issue in WSNs. Recently, cluster-based data aggregation is widely used to reduce energy consumption and prolong network lifetime. However, most existing schemes proposed...
Emerging wireless sensor network (WSN) applications demand considerable computation capacity for in-network processing. To achieve the required processing capacity, cross-layer collaborative in-network processing among sensors emerges as a promising solution: sensors do not only process information at the application layer, but also synchronize their communication activities to exchange partially...
Although task mapping and scheduling in wired networks of processors has been extensively studied, their application to WSNs remains largely unexplored. Existing algorithms cannot be directly implemented in WSNs due to limited resource availability and shared communication medium. In this work, an application-independent task mapping and scheduling solution in multi-hop WSNs is presented that provides...
With the increasing importance of energy consumption considerations and new requirements of emerging applications, in-network processing of information gains recognition as a viable solution for wireless sensor networks (WSNs). The required processing capability can be achieved through locally collaborative information processing among sensors. Task mapping and scheduling plays an important role in...
Collaboration among sensors through parallel processing mechanisms emerges as a promising solution to achieve high processing power in resource-restricted wireless sensor networks (WSN). Although task mapping and scheduling in wired networks of processors has been well studied in the past, their application to WSNs remains largely unexplored. Due to the limitations of WSNs, existing algorithms cannot...
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