658 research outputs found
Energy efficient privacy preserved data gathering in wireless sensor networks having multiple sinks
Wireless sensor networks (WSNs) generally have a many-to-one structure so that event information flows from sensors to a unique sink. In recent WSN applications, many-tomany structures are evolved due to need for conveying collected event information to multiple sinks at the same time. This study proposes an anonymity method bases on k-anonymity for preventing record disclosure of collected event information in WSNs. Proposed method takes the anonymity requirements of multiple sinks into consideration by providing different levels of privacy for each destination sink. Attributes, which may identify of an event owner, are generalized or encrypted in order to
meet the different anonymity requirements of sinks. Privacy guaranteed event information can be multicasted to all sinks instead of sending to each sink one by one. Since minimization of energy consumption is an important design criteria for WSNs, our method enables us to multicast the same event information
to multiple sinks and reduce energy consumption
Cloud-Aided Interference Management with Cache-Enabled Edge Nodes and Users
This paper considers a cloud-RAN architecture with cache-enabled
multi-antenna Edge Nodes (ENs) that deliver content to cache-enabled end-users.
The ENs are connected to a central server via limited-capacity fronthaul links,
and, based on the information received from the central server and the cached
contents, they transmit on the shared wireless medium to satisfy users'
requests. By leveraging cooperative transmission as enabled by ENs' caches and
fronthaul links, as well as multicasting opportunities provided by users'
caches, a close-to-optimal caching and delivery scheme is proposed. As a
result, the minimum Normalized Delivery Time (NDT), a high-SNR measure of
delivery latency, is characterized to within a multiplicative constant gap of
under the assumption of uncoded caching and fronthaul transmission, and
of one-shot linear precoding. This result demonstrates the interplay among
fronthaul links capacity, ENs' caches, and end-users' caches in minimizing the
content delivery time.Comment: 9 pages, 3 figures, submitte
ECARDM: Energy Consumption Aware Route Discovery for Multicasting in Mobile Ad hoc Networks
Consideration of energy consumption in the case of wireless ad hoc networks leads to effective reduction of energy consumption by the nodes and increases the lifetime of the batteries for nodes. It is imperative from the existing models that there is significant scope for improvement in the energy-consumption based route discovery models. A model of Fuzzy based marginal energy disbursed multicast route discovery model for MANETs can support in reducing the power consumption has been proposed in our earlier research paper. In the present paper, a contemporary solution termed 201C;Energy Consumption Aware Route Discovery for Multicasting for MANETs201D; has been proposed, which is profoundly a fuzzy reasoning and genetic algorithm based model that focus on both the energy consumption and also the element of end-to-end delay whilst discovering the route. The experimental study of the model in comparison to BWDCMR and GAEEQMR models depicted that the proposed algorithm is very effective and can certainly be result oriented
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