Optimal node scheduling for integrated connected-coverage in wireless sensor networks

Aslanyan, Levon; Aslanyan, Hakob; Khosravi, Hamid

doi:10.1109/csitechnol.2013.6710363

Cited by 17 publications

(10 citation statements)

References 16 publications

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“…(3) Figure 6 illustrates that the ACHs (i.e., the devices that reside in ash-colored squares having ID 6,7,8,10,12,13,14,15) are within R s of device 11 (PCH). Once ACHs are selected, the PCH notifies all member MTC devices.…”

Section: Active Mtc Device Selectionmentioning

confidence: 99%

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Efficient Cluster-Based Sleep Scheduling for M2M Communication Network

Al-kahtani

2015

Arab J Sci Eng

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Machine-to-machine (M2M) communication networks comprise a large number of machine-type communication (MTC) devices such as sensors, radio frequency identification readers, and smart meters. Thus, M2M networks are becoming popular in real-time monitoring, surveillance, and security applications. Scheduling the active and idle states of MTC devices is significantly important to achieve a longer network lifetime and reduce collision during data transmission. Existing node sleep scheduling schemes are mainly designed to reduce the energy consumption of MTC devices. These schemes do not support mobility of MTC devices and thus cannot be used in mobility-centric M2M applications. Thus, we propose a cluster-based energy-efficient, mobility-centric node scheduling scheme for M2M (CENM) communication networks. The proposed CENM scheduling scheme provides (i) network coverage by keeping a minimum number of MTC devices in active state and (ii) fault tolerance by selecting alternative cluster heads and member nodes. Simulation results show that the CENM scheduling scheme is more reliable than the existing CCNS scheduling scheme since the first node in CENM scheme fails much later than that in CCNS scheduling scheme. Simulation results also show that the CENM scheduling scheme outperforms the CCNS, LEACH-M and LEACH-ME scheduling schemes in terms of network energy consumptions, network lifetime, and total message transmissions.

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Section: Active Mtc Device Selectionmentioning

confidence: 99%

“…Thus, these devices dissipate energy very fast. Like efficient routing, access control and resource allocation approaches [1,2] of M2M communications node scheduling of MTC devices can effectively reduce energy consumptions of MTC devices [3][4][5][6][7]. This is because only a few MTC devices are scheduled to remain in active state.…”

Section: Introductionmentioning

confidence: 99%

Efficient Cluster-Based Sleep Scheduling for M2M Communication Network

Al-kahtani

2015

Arab J Sci Eng

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“…This challenge is based on two sub-challenges. One of these challenges is to construct connected WSNs [13]. Another challenge is to design a routing protocol that improves packet delivery.…”

Section: Introductionmentioning

confidence: 99%

Packet delivery significance and metrics improvements in protocols for 3-D routing in Wireless Sensor Networks

Salti

Stacey

Al‐Turjman

2014

2014 International Wireless Communications and Mobile Computing Conference (IWCMC)

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“…In [9] a wakeup scheduling method and power management mechanism is proposed to reduce the energy consumed for WSNs and each sensor node selects its own wake up time intervals based on its pending packets. The authors in [10] focused on topology control and power management and proposed a node scheduling solution that solves the coverage and connectivity problem in sensor networks in an integrated manner. In [11] an energy efficient scheduling algorithm called (ALARM) has been proposed for WSNs.…”

Section: Related Workmentioning

confidence: 99%

A Genetic Algorithm based Sleep Wake up Protocol for Wireless Sensor Networks

Nikdel¹,

Mahdi²

2016

Fifth International Conference on Advances in Computing, Electronics and Electrical Technology - CEET 2016

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Abstract-Energy efficiency is an important issue in the field ofWireless Sensor Networks (WSNs). So, minimizing the energy consumption in this kind of networks should be an essential consideration. Sleep/wake scheduling mechanism is an efficient approach to handling this issue. In this paper, we propose a Genetic Algorithm-based Sleep-Wake up Area Coverage protocol called GA-SWAC. The proposed protocol puts the minimum of nodes in active mode and adjusts the sensing radius of each active node to decrease the energy consumption while maintaining the network's coverage. The proposed protocol is simulated. The results demonstrate the efficiency of the proposed protocol in terms of coverage ratio, number of active nodes and energy consumption.

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Optimal node scheduling for integrated connected-coverage in wireless sensor networks

Cited by 17 publications

References 16 publications

Efficient Cluster-Based Sleep Scheduling for M2M Communication Network

Efficient Cluster-Based Sleep Scheduling for M2M Communication Network

Packet delivery significance and metrics improvements in protocols for 3-D routing in Wireless Sensor Networks

A Genetic Algorithm based Sleep Wake up Protocol for Wireless Sensor Networks

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