A Network Protocol to Enhance Robustness in Tree-Based WSNs Using Data Aggregation

Messina, D.; Ortolani, Marco; Re, Giuseppe Lo

doi:10.1109/mobhoc.2007.4428635

Cited by 10 publications

(6 citation statements)

References 8 publications

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“…For avoiding the interference problem, different access methods are chosen. Otherwise, it causes delay in sending the data packet from leaf nodes to root node, for example, minimum spanning tree (MST), tree based data collection scheme (TBDCS), and efficient convergecast tree (ECT) [28][29][30].…”

Section: Tree Based Topology (Tbt)mentioning

confidence: 99%

An Energy Efficient Data Gathering in Dense Mobile Wireless Sensor Networks

Velmani

Balakrishnan²

2014

ISRN Sensor Networks

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Amidst of the growing impact of wireless sensor networks (WSNs) on real world applications, numerous schemes have been proposed for collecting data on multipath routing, tree, clustering, and cluster tree. Effectiveness of WSNs only depends on the data collection schemes. Existing methods cannot provide a guaranteed reliable network about mobility, traffic, and end-to-end connection, respectively. To mitigate such kind of problems, a simple and effective scheme is proposed, which is named as cluster independent data collection tree (CIDT). After the cluster head election and cluster formation, CIDT constructs a data collection tree (DCT) based on the cluster head location. In DCT, data collection node (DCN) does not participate in sensing, which is simply collecting the data packet from the cluster head and delivering it into sink. CIDT minimizes the energy exploitation, end-to-end delay and traffic of cluster head due to transfer of data with DCT. CIDT provides less complexity involved in creating a tree structure, which maintains the energy consumption of cluster head that helps to reduce the frequent cluster formation and maintain a cluster for considerable amount of time. The simulation results show that CIDT provides better QoS in terms of energy consumption, throughput, end-to-end delay, and network lifetime for mobility-based WSNs.

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Section: Tree Based Topology (Tbt)mentioning

confidence: 99%

An Energy Efficient Data Gathering in Dense Mobile Wireless Sensor Networks

Velmani

Balakrishnan²

2014

ISRN Sensor Networks

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“…Moreover, the overhead associated with rumor routing is controlled by different parameters used in the algorithm such as time to live (TTL) pertaining to queries and agents. Since the nodes become aware of events through the event agents, the heuristic for defining the route of an event agent highly affects the performance of next-hop selection in rumor routing [56]. …”

Section: Descriptions Of Different Topologies Of Wsnsmentioning

confidence: 99%

“…Tree topology is used to design various protocols for WSNs, such data collection scheme (TBDCS [34]), routing protocols ([72,73]), data dissemination protocols ([56,57]) etc .…”

Section: Descriptions Of Different Topologies Of Wsnsmentioning

confidence: 99%

“…IEEE P1451.5 web survey [56] identified data reliability as one of the most important parameters in the design of WSNs. Reliability is generally defined as the probability that the system will perform its intended function under stated conditions for a specified period of time [79].…”

Section: Comparison Of Different Topologiesmentioning

confidence: 99%

“…Multiple chain-based topology and clustered hierarchical topologies improve the scalability of the flat networks by assigning leaders and/or cluster heads to manage the local neighbourhood of sensor nodes. For example, LEACH and COSEN use localized coordination to enable scalability and robustness for dynamic networks [56,57]. In addition, the adaptive self-organizing capabilities of multi-chain and clustered hierarchical WSNs allow the periodic reformation of hierarchical chain/clusters of sensor nodes, in the event of environmental or topological changes when sensor nodes fail or new sensor nodes are added to improve connectivity and coverage.…”

Section: Comparison Of Different Topologiesmentioning

confidence: 99%

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A Qualitative Comparison of Different Logical Topologies for Wireless Sensor Networks

Mamun

2012

Sensors

104

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Wireless Sensor Networks (WSNs) are formed by a large collection of power-conscious wireless-capable sensors without the support of pre-existing infrastructure, possibly by unplanned deployment. With a sheer number of sensor nodes, their unattended deployment and hostile environment very often preclude reliance on physical configuration or physical topology. It is, therefore, often necessary to depend on the logical topology. Logical topologies govern how a sensor node communicates with other nodes in the network. In this way, logical topologies play a vital role for resource-constraint sensor networks. It is thus more intuitive to approach the constraint minimizing problems from (logical) topological point of view. Hence, this paper aims to study the logical topologies of WSNs. In doing so, a set of performance metrics is identified first. We identify various logical topologies from different application protocols of WSNs, and then compare the topologies using the set of performance metrics.

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