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It is well known that periodically putting nodes into sleep can effectively save energy in wireless sensor networks, at the cost of increased communication delays. However, most existing work mainly focuses on static sleep scheduling, which cannot guarantee the desired delay when the network conditions change dynamically. In many applications with user-specified end-to-end delay requirements, the...
This paper firstly introduces the compressed sensing theory that is very hot in recent research. Our research combines the compressed sensing with wireless sensor network to improve the prior classical formulas due to the great advantage of capabilities of compressing data in large scale wireless network. When the transmission data decrease sharply, the throughput increases obviously in our research...
This paper introduces new methods for sensor fusion in homogenous sensor networks in the presence of the communication time delay. It allows the sensor nodes to solve consensus problems despite the network induced delay. It is shown that such approaches guarantee tracking of each consensus filter output to the original value of the measured signal in both regular and non-regular network graph topology...
We target an interesting problem of simultaneous optimization of lifetime and source-to-sink delay in wireless sensor networks, and present a fuzzy multiobjective online routing algorithm. For a routing request, the proposed routing algorithm finds a path that offers a good balance between the two routing objectives, namely maximizing the network lifetime and minimizing the source-to-sink delay. Fuzzy...
In wireless sensor networks (WSNs), data aggregation schemes have been extensively investigated in order to reduce energy, although it has a great side-effect, the end to end delay is increased. This paper proposes a layered clustering structure for data aggregation in wireless sensor networks. In this proposed structure, each layer of clusters has specific delay and accuracy in order to aggregate...
The design of sensor networks capable of reaching a consensus on a globally optimal decision test, without the need for a fusion center, is a problem that has received considerable attention in the last years. Many consensus algorithms have been proposed, with convergence conditions depending on the graph describing the interaction among the nodes. In most works, the graph is undirected and there...
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