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Aravind Thimmapuram

dblp:20/128 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2010
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 1Computer networks · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks
1 paper
Internet of things and sensor networks · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Internet of things and sensor networks › mobile sensor networks
controlled mobility
0.112010
Distributed Recovery from Network Partitioning in Movable Sensor/Actor Networks via Controlled Mobility · IEEE Trans. Computers 2010
Internet of things and sensor networks
wireless sensor and actuator networks
0.112010
Distributed Recovery from Network Partitioning in Movable Sensor/Actor Networks via Controlled Mobility · IEEE Trans. Computers 2010
Internet of things and sensor networks › network connectivity
connectivity restoration
0.012010
Distributed Recovery from Network Partitioning in Movable Sensor/Actor Networks via Controlled Mobility · IEEE Trans. Computers 2010

Methods — techniques the papers use, named apart from their topics

simulation · 0.1
YearPublicationVenuePosition
2010 Distributed Recovery from Network Partitioning in Movable Sensor/Actor Networks via Controlled Mobility
abstract
Mobility has been introduced to sensor networks through the deployment of movable nodes. In movable wireless networks, network connectivity among the nodes is a crucial factor in order to relay data to the sink node, exchange data for collaboration, and perform data aggregation. However, such connectivity can be lost due to a failure of one or more nodes. Even a single node failure may partition the network, and thus, eventually reduce the quality and efficiency of the network operation. To handle this connectivity problem, we present PADRA to detect possible partitions, and then, restore the network connectivity through controlled relocation of movable nodes. The idea is to identify whether or not the failure of a node will cause partitioning in advance in a distributed manner. If a partitioning is to occur, PADRA designates a failure handler to initiate the connectivity restoration process. The overall goal in this process is to localize the scope of the recovery and minimize the overhead imposed on the nodes. We further extend PADRA to handle multiple node failures. The approach, namely, MDAPRA strives to provide a mutual exclusion mechanism in repositioning the nodes to restore connectivity. The effectiveness of the proposed approaches is validated through simulation experiments.
Kemal Akkaya, Fatih Senel, Aravind Thimmapuram, Suleyman Uludag
IEEE Trans. Computers3
2008 Distributed Recovery of Actor Failures in Wireless Sensor and Actor Networks
abstract
Wireless sensor and actor networks (WSANs) additionally employ actor nodes within the wireless sensor network (WSN) which can process the sensed data and perform certain actions based on this collected data. In most applications, inter-actor coordination is required to provide the best response. This suggests that the employed actors should form and maintain a connected inter-actor network at all times. However, WSANs often operate unattended in harsh environments where actors can easily fail or get damaged. Such failures can partition the inter-actor network and thus eventually make the network useless. In order to handle such failures, we present a connected dominating set (CDS) based partition detection and recovery algorithm. The idea is to identify whether the failure of a node causes partitioning or not in advance. If a partitioning is to occur, the algorithm designates one of the neighboring nodes to initiate the connectivity restoration process. This process involves repositioning of a set of actors in order to restore the connectivity. The overall goal in this restoration process is to localize the scope of the recovery and minimize the movement overhead imposed on the involved actors. The effectiveness of the approach is validated through simulation experiments.
Kemal Akkaya, Aravind Thimmapuram, Fatih Senel, Suleyman Uludag
WCNC2