A fuzzy, energy-efficient scheme for data centric multipath routing in wireless sensor networks

Srinivasan, T.; Radhakrishnan, Chandrasekar; Vijaykumar, V.

doi:10.1109/wocn.2006.1666626

Cited by 18 publications

(11 citation statements)

References 9 publications

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“…In [1] a fuzzy diffusion approach for prolonging the life time of distributed sensor networks has been presented which is based upon the energy level and the traffic intensity of each node while a fuzzy multi-path routing scheme is presented in [12] taking the battery power level and the kind of data received from the neighbors into account.…”

Section: Related Workmentioning

confidence: 99%

A Novel Fuzzy Diffusion Approach for Improving Energy Efficiency in Wireless Sensor Networks

Zarafshan¹,

Karimi²,

Al-Haddad³

2012

IJMLC

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Abstract-Directed Diffusion is a Data Centric routing protocol. In data centric protocols data is named based on the attribute-value pairs. Directed diffusion protocol includes flooding the interested data, establishing direction paths by using gradients set-up and selecting one or more direction paths to reinforce the data stream. The main difficulty of Directed Diffusion is flooding in which there is some communication overhead with some nodes which are naturally unable to coordinate in monitoring the interested event. We use a fuzzy logic controller to reduce the communication overheads during flooding and routing the data stream from the source(s) to a sink node. The fuzzy logic controller evaluates the potentiality of intermediate nodes to coordinate in mission, based on each node's traffic load, energy residual and size of data which can be maintained. The simulation results show that new Fuzzy diffusion approach produces at most 56.5% and in average 28.81% successful results and has improved the total energy residual at least 19.38% and in average 1888.87% in comparison with directed diffusion protocol.Index Terms-Wireless sensor networks, fuzzy logic, directed diffusion, energy efficiency. I. INTRODUCTIONA Wireless sensor networks (WSN) contain multitude tiny nodes in which various sensors, actuators, processing and communication units exist. These nodes interact highly with physical environment providing continual unattended monitoring of natural or man-made phenomena and less accessible regions such as poisonous or chemical areas in industries, aircraft interiors and early warning of natural disasters [1]- [2]. These numerous sensing nodes distributed in an area can coordinate with each other and constitute a distributed network to achieve a larger sensing task [3].Wireless sensor nodes are highly restricted by energy level of nodes. Although the recent advances in MEMS and VLSI technologies can lead to building very small and energy efficient sensor nodes enabling to do processing and computation, the demand on decreasing the energy consumption in nodes is still crucial even in some situations where the renewable energy sources (e.g. solar panel) are provided.Besides hardware optimizations, energy efficient routing methods act a significant role in improving the routing energy efficiency.From a point of view, routing methods are categorized into Data Centric (DC) and Address Centric (DC) [4]. DC protocols are significantly different from AC protocols where each node has a unique ID, the routing is end-to-end and each source independently send data along the shortest path to sink based on the routes the queries took [4]. However, in DC protocols there is no globally unique ID. The nodes are capacitated to handle the content of the data and perform some data aggregation on the sensed data which is passed via neighbor nodes.Data aggregation (the combination of data from different sources [4]) dedicates many advantages to Data Centric Models. Of the advantages is eliminating the redundancy in intermediate...

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Section: Related Workmentioning

confidence: 99%

A Novel Fuzzy Diffusion Approach for Improving Energy Efficiency in Wireless Sensor Networks

Zarafshan¹,

Karimi²,

Al-Haddad³

2012

IJMLC

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“…Srinivasan et al [23] proposed a data-centric routing scheme where a node decides to participate in a packet forwarding task only if it has sufficiently enough residual energy.…”

Section: Related Workmentioning

confidence: 99%

An Online Multipath Routing Algorithm for Maximizing Lifetime in Wireless Sensor Networks

Minhas

Gopalakrishnan

Leung

2009

2009 Sixth International Conference on Information Technology: New Generations

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“…An efficient MANET protocol makes good use of the MAC layer broadcasting facility to reduce channel overhead m m MT R ME = (2) Where ME is the multicast efficiency, R m is the total number of multicast receptions along the path as well as the receiver. We accumulate the hop count of every multicast packet at each muticast receiver.…”

Section: Multicastmentioning

confidence: 99%

“…However, source based tree algorithms are clearly robust: a sender simply sends its data and intervening routers "conspire" to get the data where it needs to, creating state along the way. This is the so-called "datadriven" or data-centric [2] approach. There is no setup protocol needed.…”

Section: Introductionmentioning

confidence: 99%

Localized Tree Change Multicast Protocol for Mobile Ad Hoc Networks

Srinivasan¹,

Radhakrishnan

Vijaykumar

et al. 2006

2006 International Conference on Wireless and Mobile Communications (ICWMC'06)

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In this paper, we present Localized Tree Change Multicast Protocol (LTMP), a novel source based multicast protocol for Mobile Ad Hoc Networks with the underlying theme being that a forwarding group is maintained by enabling a forwarding flag at each of the nodes without the need to periodically flood the network with the membership status of the group nodes. LTMP also provides end-to-end signaling between the sources and receivers. We compare the performance of LTMP with existing source based multicast schemes. The protocols differ in the nature of the control traffic generated to maintain the multicast tree and the state information maintained for each multicast group. Our results show that in many scenarios LTMP offers better performance than the existing schemes, a consequence of the reduced control overhead and its ability to perform localized tree changes without the need for maintaining upstream information allowing for stable multicast delivery and the addition of too many forwarding nodes.

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A fuzzy, energy-efficient scheme for data centric multipath routing in wireless sensor networks

Cited by 18 publications

References 9 publications

A Novel Fuzzy Diffusion Approach for Improving Energy Efficiency in Wireless Sensor Networks

A Novel Fuzzy Diffusion Approach for Improving Energy Efficiency in Wireless Sensor Networks

An Online Multipath Routing Algorithm for Maximizing Lifetime in Wireless Sensor Networks

Localized Tree Change Multicast Protocol for Mobile Ad Hoc Networks

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