A New Energy-efficient Clustering Protocol for Wireless Sensor Networks

Singh, Madan G.; Gore, Manoj Madhava

doi:10.1109/issnip.2005.1595551

Cited by 10 publications

(6 citation statements)

References 14 publications

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“…As explained in [8], many greedy algorithms have been proposed to choose cluster heads in ad hoc networks and wireless networks, which are based on the criteria such as (i) lowest-ID clustering algorithm, (ii) highest-connectivity clustering algorithm, (iii) least clustering change algorithm, and (iv) weighted clustering algorithm…”

Section: Related Previous Workmentioning

confidence: 99%

“…In yet another energy-efficient clustering protocol, the authors proposes for prolonging the life of the wireless sensor network by dividing the network into clusters. The cluster heads are selected on the basis of primary parameter as hold back period and secondary parameter as the number of hops, to restrict the size of the cluster [8].…”

Section: Related Previous Workmentioning

confidence: 99%

“…Researchers have devised many protocols for communication, and security in wireless networks life infrastructure based networks, ad-hoc networks, mobile networks etc [2][3][4][5][6][7][8][9][10][11][12][13][14][15][16]. But as mentioned above, these protocols cannot be used directly due to resource constraints of sensor nodes for resources like limited battery power, communication capability, and computational speed.…”

Section: Introductionmentioning

confidence: 99%

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Energy Efficient Homogenous Clustering Algorithm for Wireless Sensor Networks

Singh¹,

Singh²,

Singh³

2010

IJWMN

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Radio transmission and reception consumes a lot of energy in a wireless sensor network (WSN), which are made of low-cost, low-power, small in size, and multifunctional sensor nodes. Thus, one of the important issues in wireless sensor network is the inherent limited battery power within the sensor nodes. Therefore, battery power is crucial parameter in the algorithm design in maximizing the lifespan of sensor nodes. It is also preferable to distribute the energy dissipated throughout the wireless sensor network in order to maximize overall network performance. Much research has been done in recent years in the area of low power routing protocol, but, there are still many design options open for improvement, and for further research targeted to the specific applications, need to be done. In this paper, we propose a new approach of an energy-efficient homogeneous clustering algorithm for wireless sensor networks in which the lifespan of the network is increased by ensuring a homogeneous distribution of nodes in the clusters. In this clustering algorithm, energy efficiency is distributed and network performance is improved by selecting cluster heads on the basis of (i) the residual energy of existing cluster heads, (ii)holdback value, and (iii) nearest hop distance of the node. In the proposed clustering algorithm, the cluster members are uniformly distributed and the life of the network is further extended.

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Section: Related Previous Workmentioning

confidence: 99%

Section: Related Previous Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Energy Efficient Homogenous Clustering Algorithm for Wireless Sensor Networks

Singh¹,

Singh²,

Singh³

2010

IJWMN

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“…While doing inter-communication, sensor nodes are assumed to employ multiple access scheme such as CSMA/CA. Since our focus here is the design of the scheduling scheme that can provide a sufficient number of sensor nodes, data collection processes such as routing [9][10] [11], clusters formation [12][13] [14] and data aggregation [15][16] [17] are not considered in this paper. Nonetheless, with the sufficient number of active sensors, all these data collection processes can be built on top of the proposed scheduling scheme.…”

Section: A Simulation Settingsmentioning

confidence: 99%

A Bio-Inspired Scheduling Scheme for Wireless Sensor Networks

Cheng

Tse

Lau

2008

VTC Spring 2008 - IEEE Vehicular Technology Conference

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Abstract-Sensor networks with a large amount of sensor nodes usually have high redundancy in sensing coverage. The network lifetime can be further extended by proper scheduling and putting unnecessary sensor nodes into sleep mode. In this paper a bio-inspired scheduling scheme is proposed. The proposed scheme is a kind of adaptive "selective on-off" scheduling scheme which uses only local information for making scheduling decisions. The scheme is evaluated in terms of target 3-coverage hit-rate, averaged detection delay, and energy consumption per successful target detection. Simulation results show that our proposed scheme can reduce energy consumption by as much as 2/3 when comparing with other generic scheduling schemes while maintaining the detection delay and target hit-rate at a comparable level. Optimization of the network lifetime and other performances is possible by adjusting some parameters.

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“…Much research was undertaken recently to investigate different aspects including low power protocols, network establishments, routing protocol, coverage problems and secure wireless sensor network establishment. Many protocols were suggested to prolong WSN life and to route correct data to sinks [5], [6], [7], [8]. Each method proposed in literature has its own advantages and disadvantages.…”

mentioning

confidence: 99%

Multimedia Transmission in Multi Hop Wireless Sensor Network

Sakthidharan¹,

Chitra²

2012

IJCA

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Quality of Service (QoS) is a requirement for proper functioning of traditional and modern networks. Wireless Sensor Networks (WSN) is adversely affected because of mobility, harsh communication medium, and environment behavior. Quality of Service is a crucial aspect in WSN design information sent by nodes and delivered according to QoS requirements to provide outside observers accurate vision of monitored phenomena. In WSNs for effective transmission of still images, audio, and video information enforces rigorous necessities on the energy consumption and throughput. In this paper, it is proposed to investigate the performance of routing traffic for multimedia traffic in WSN for multihop nodes from the sink. Keywords-WirelessSensor Network, packet scheduling, Dynamic Source Routing, Multimedia traffic, one hop nodes. 1.INTRODUCTIONTechnological advances in microelectronic mechanical systems (MEMS) and wireless communication technologies ensured the development of tiny, low-cost, low-power, and multifunctional smart sensor nodes in WSN. Wireless Sensor Networks (WSNs) are considered to be an important technology for the twenty-first century [1]. These sensor nodes are deployed and networked through internet and wireless links, providing opportunities for various civilian and military applications, like environmental monitoring, battle field surveillance, and industry process control [2]. Development of WSNs was first encouraged by military applications like battlefield surveillance, but they are now used in civilian applications like environment and habitat monitoring, healthcare applications, home automation, and traffic control. Differentiated from traditional wireless communication networks like cellular systems and mobile ad hoc networks (MANET), WSN's unique characteristics like dense node deployment level, sensor nodes higher unreliability and energy, computation, and storage constraints [3] provide new challenges in WSN development and application. Lot of research explored and solved various design/application issues, and major advances were made in their development and deployment.A WSN consists of a huge number ranging from tens to thousands of low-cost, low-power, and multifunctional sensor nodes deployed in a region of interest. Such sensor nodes are small in size and equipped with embedded microprocessors, radio receivers, and power components to enable sensing, computing, communication, and actuation, the components being integrated on a single/multiple boards, and packed in space of a few cubic inches. WSNs communicate over short distances through wireless channels to share information and cooperative processing to complete common tasks. They are deployed globally for environmental monitoring and habitat study, over battlefields for military surveillance and reconnaissance, for search and rescue in emergency situations, for condition based maintenance and process control in factories, for infrastructure health monitoring in buildings and in homes to realize smart homes.In a typical scenario...

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A New Energy-efficient Clustering Protocol for Wireless Sensor Networks

Cited by 10 publications

References 14 publications

Energy Efficient Homogenous Clustering Algorithm for Wireless Sensor Networks

Energy Efficient Homogenous Clustering Algorithm for Wireless Sensor Networks

A Bio-Inspired Scheduling Scheme for Wireless Sensor Networks

Multimedia Transmission in Multi Hop Wireless Sensor Network

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