Earlier work has demonstrated the effectiveness of in-network data aggregation in order to minimize the amount of messages exchanged during continuous queries in large sensor networks. The key idea is to build an aggregation tree, in which parent nodes aggregate the values received from

In a large sensor network, in-network data aggregation is inherently used as a communication paradigm which reduces the number of packets transmitted and hence the energy consumed. However the unattended and hostile operation of sensor network makes the system vulnerable to node compromise attack

of a HAN in terms of time is studied. Delays of responses from the devices for the requests made by the central controller were measured for two most popular architectures, with and without in-network data aggregation. When the probability mass functions were plotted, it was evident that the delays

We present an innovative protocol combining in-network data aggregation and smart meter billing for a smart grid scenario. The former enables an energy supplier to allocate and balance resources. The latter provides dynamic pricing schemes according to fine-grained consumption profiles. More

and looks at futuristic applications. Our vision is CPSwith distributed actuation and in-network processing. We describe few particular use cases that motivate the development of the M2M communication primi-tives tailored to large-scaleCPS.M2Mcommunications in literature were considered in limited extent so

Abstract—We perform real-world tests of the performance of medium access control protocol schemes for scalable data aggregation in sensor networks. Specifically, we evaluate the performance of a Listen-and-Suppress Carrier Sense Multiple Access (LAS-CSMA) scheme on the duplicate-insensitive exem

the data is aggregated and stored for offline querying and analysis. This approach has two major drawbacks. First, the user cannot change the behavior of the system on the fly. Second, conservation of battery power is a major design factor, but a central system cannot make use of in-network programming

journal homepage: www.elsevier.com/locate/jnca Post-processing in wireless sensor networks: Benchmarking sensor trace files for in-network data aggregation $

In-network aggregation is an essential primitive for performing queries on sensor network data. However, most aggregation algo-rithms assume that all intermediate nodes are trusted. In contrast, the standard threat model in sensor network security assumes that an attacker may control a fraction

In-network data aggregation is essential for wireless sensor networks where resources (e.g., bandwidth, energy) are limited. In a previously proposed data dissemination scheme, data is opportunistically aggregated at the intermediate nodes on a low-latency tree which may not necessarily be energy