Energy-efficient neighbor discovery protocol for mobile wireless sensor networks

Kohvakka, Mikko; Suhonen, Jukka; Kuorilehto, Mauri; Kaseva, Ville; Hännikäinen, Marko; Hämäläinen, Timo D.

doi:10.1016/j.adhoc.2007.11.016

Cited by 79 publications

(50 citation statements)

References 17 publications

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“…They considered the energy efficiency of MSNs to design routing protocols. A neighbor discovery protocol for MSNs was given in [5]. The collaboration with neighbor nodes was discussed in order to recognize topology changes of MSNs.…”

Section: Related Workmentioning

confidence: 99%

“…It is necessary to develop energy-efficient clustering algorithms which can effectively utilize the constrained energy and increase the overall lifetime of MSNs. In addition, the communication protocols in MSNs need to be scalable and robust enough to endure dynamic environments so that the MSNs nodes can recognize topology changes and update communication links rapidly [5].…”

Section: Introductionmentioning

confidence: 99%

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A Dynamic and Energy-Efficient Clustering Algorithm in Large-Scale Mobile Sensor Networks

Liu

Ruan

2013

International Journal of Distributed Sensor Networks

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Random mobility and energy constraint are two main factors affecting system performance in mobile sensor networks, which cause many difficulties to system design. It is necessary to develop high-efficiency algorithms and protocols for mobile sensor networks to adapt to dynamic network environment and energy limitation. In this paper, a new clustering algorithm based on residual energy difference ratio is presented to improve system performance. Firstly, it is an energy-efficient algorithm. The residual energy of sensor nodes and average residual energy of system are considered in the residual energy difference ratio, which effectively avoid the nodes with low residual energy being selected as cluster heads. An energy-optimal scheme is used in cluster formation phase to minimize energy consumption. Secondly, it is a dynamic algorithm. The system dynamically clusters the sensor nodes according to the data transmission delays. It makes the whole system adapt to the random mobility of sensor nodes. The NS2 software is used to simulate the new clustering algorithm. The simulation experiments can verify the validity of the proposed theory.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Dynamic and Energy-Efficient Clustering Algorithm in Large-Scale Mobile Sensor Networks

Liu

Ruan

2013

International Journal of Distributed Sensor Networks

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“…Many authors in the literature discussed the method of encapsulating information necessary for topology construction in the beacon payload (parent selection, neighbor discovery) [11], [12], [13]. Consequently, they assume the information to be present in each beacon.…”

Section: Performance Evaluationmentioning

confidence: 99%

Topology construction in RPL networks over beacon-enabled 802.15.4

Vučinić

Romaniello

Guelorget

et al. 2014

2014 IEEE Symposium on Computers and Communications (ISCC)

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Abstract-In this paper, we propose a new scheme that allows coupling beacon-enabled IEEE 802.15.4 with the RPL routing protocol while keeping full compliance with both standards. We provide a means for RPL to pass the routing information to Layer 2 before the 802.15.4 topology is created by encapsulating RPL DIO messages in beacon frames. The scheme takes advantage of 802.15.4 command frames to solicit RPL DIO messages. The effect of the command frames is to reset the Trickle timer that governs sending DIO messages. We provide a detailed analysis of the overhead incurred by the proposed scheme to understand topology construction costs. We have evaluated the scheme using Contiki and the instruction-level Cooja simulator and compared our results against the most common scheme used for dissemination of the upper-layer information in beaconenabled PANs. The results show energy savings during the topology construction phase and in the steady state.

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“…In [15] [16]Author selects node in a random way to form the CH and further distribute the energy uniformly among them. In [17][18]Author proposed LEACH protocol where they analyzed LEACH routing protocol in order of many factors like network lifetime, throughput and energy.…”

Section: Related Workmentioning

confidence: 99%

Performance metric analysis of modified LEACH routing protocol in wireless sensor network

Priyadarshi¹,

Tripathi²,

Bhardwaj³

et al. 2017

IJET

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The lifetime of a network is reflected as one of the vital concerns in wireless sensor network because of a huge number of nodes and further its density and distribution. When the network size increases then routing protocol becomes one of the crucial issues that which routing protocol one should use so that network lifetime to be enhanced. Furthermore, sensor nodes must be alive to promise that network process must continue without any interruption or any loss of data in the network. In fact, there are a lot of clustering method is there to augment the network lifetime. But in this paper, presented routing protocol that is based on existing LEACH protocol called as K-mean clustering routing (KLEACH). Simulation results show that efficiency of the network has been improved and network lifetime has been also enhanced compared to existing LEACH protocol. Network lifetime of KLEACH protocol is almost increased by 40% and energy consumption is also decrease by almost 38% which reflects the good agreement of KLEACH algorithm compared to existing algorithm.

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Energy-efficient neighbor discovery protocol for mobile wireless sensor networks

Cited by 79 publications

References 17 publications

A Dynamic and Energy-Efficient Clustering Algorithm in Large-Scale Mobile Sensor Networks

A Dynamic and Energy-Efficient Clustering Algorithm in Large-Scale Mobile Sensor Networks

Topology construction in RPL networks over beacon-enabled 802.15.4

Performance metric analysis of modified LEACH routing protocol in wireless sensor network

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