EPMPLCS: An Efficient Power Management Protocol with Limited Cluster Size for Wireless Sensor Networks

Zahmati, Amir Sepasi; Moghadam, Nadieh; Abolhassani, Bahman

doi:10.1109/icdcsw.2007.102

Cited by 24 publications

(31 citation statements)

References 2 publications

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“…In the clustered scheme proposed so far [2], [3] and [4], each and every node is in active state, therefore, a particular area is monitored by the two or more nodes. The schemes LEACH [2], EEPSC [3], LEACH [4], UCCP [5], EECS [6], EEDUC [7] and DDC [8] cannot protect the network nodes from early energy dissipation lead to short span of life. As a node expires within a short time, the new sets of clusters are formed very frequently.…”

Section: Cluster Base Communication In Wireless Sensor Networkmentioning

confidence: 99%

“…In the clustered scheme tate, therefore, a particular area is monitored by the two or more nodes. The schemes LEACH [2], EEPSC [3], LEACH-C [4], UCCP [5], EECS [6], EEDUC [7] and DDC [8] cannot protect the network nodes from a node expires within a short time, the new sets of clusters are formed very frequently. This demands massive message exchanges…”

Section: Automatamentioning

confidence: 99%

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CCABC: Cyclic Cellular Automata Based Clustering For Energy Conservation in Sensor Networks

Banerjee

Chanak²,

Rahaman

2011

IJWMN

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Abstract-Sensor network has been recognized as the most significant technology for next century. Despites of its potential application, wireless sensor network encounters resource restriction such as low power, reduced bandwidth and specially limited power sources. This work proposes an efficient technique for the conservation of energy in a wireless sensor network (WSN) by forming an effective cluster of the network nodes distributed over a wide range of geographical area. The clustering scheme is developed around a specified class of cellular automata (CA) referred to as the modified cyclic cellular automata (mCCA). It sets a number of nodes in stand-by mode at an instance of time without compromising the area of network coverage and thereby conserves the battery power. The proposed scheme also determines an effective cluster size where the inter-cluster and intra-cluster communication

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Section: Cluster Base Communication In Wireless Sensor Networkmentioning

confidence: 99%

Section: Automatamentioning

confidence: 99%

CCABC: Cyclic Cellular Automata Based Clustering For Energy Conservation in Sensor Networks

Banerjee

Chanak²,

Rahaman

2011

IJWMN

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“…In [16], the authors have analyzed the strengths and weaknesses of many existing clustering algorithms and observed many solutions of appropriate aggregation metrics those have been recently proposed in the literature. Energy-Efficient Protocol with Static Clustering (EEPSC) which partitions the network into static clusters and utilizes CHs to distribute the energy load among high power sensor nodes and extends the network lifetime [17].…”

Section: Related Workmentioning

confidence: 99%

EECDA: Energy Efficient Clustering and Data Aggregation Protocol for Heterogeneous Wireless Sensor Networks

Kumar

Aseri

Patel³

2011

INT J COMPUT COMMUN

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In recent years, energy efficiency and data gathering is a major concern in many applications of Wireless Sensor Networks (WSNs). One of the important issues in WSNs is how to save the energy consumption for prolonging the network lifetime. For this purpose, many novel innovative techniques are required to improve the energy efficiency and lifetime of the network. In this paper, we propose a novel Energy Efficient Clustering and Data Aggregation (EECDA) protocol for the heterogeneous WSNs which combines the ideas of energy efficient cluster based routing and data aggregation to achieve a better performance in terms of lifetime and stability. EECDA protocol includes a novel cluster head election technique and a path would be selected with maximum sum of energy residues for data transmission instead of the path with minimum energy consumption. Simulation results show that EECDA balances the energy consumption and prolongs the network lifetime by a factor of 51%, 35% and 10% when compared with Low-Energy Adaptive Clustering Hierarchy (LEACH), Energy Efficient Hierarchical Clustering Algorithm (EEHCA) and Effective Data Gathering Algorithm (EDGA), respectively.

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“…As the nodes of WSNs have restricted range of operation is usual that the data collector's nodes End Devices (ED) would depend on routers nodes (RT) to transmit information to a Central Base (BC) (Zahmati et al, 2007). However, a RT node may be dead by the depletion of its battery, as a result many EDs are unable to send their data to the central base, due to the interruption of a RT node.…”

Section: Introductionmentioning

confidence: 99%

Applying a Hybrid Polling Approach by Software Implementation to Extend the Lifetime of a Wireless Sensor Network

Yano¹,

Oliveira²,

Becker³

et al. 2015

Journal of Computer Science

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Wireless Sensor Networks are networks suitable for data collection in harsh environments, where it would be difficult or costly the deployment of wired infrastructure. In spite of these advantages, such networks often rely on batteries to operate, which may lead to a serious limitation on the networks lifetime. Bearing this in mind, in this article is proposed and tested a hybrid polling approach that reduces the number of frames transmitted by the router node. Thus, the router node lifetime can be extended significantly and hence the network lifetime. The proposed technique becomes progressively more advantageous, when compared to classical polling technique, as the number of network nodes increases. The experimental results obtained using a network with four nodes indicate a network lifetime increase of about 32.14%. Importantly, the sensor network lifetime extension increases the economic viability of the technology and thus makes it more accessible to potential users.

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EPMPLCS: An Efficient Power Management Protocol with Limited Cluster Size for Wireless Sensor Networks

Cited by 24 publications

References 2 publications

CCABC: Cyclic Cellular Automata Based Clustering For Energy Conservation in Sensor Networks

CCABC: Cyclic Cellular Automata Based Clustering For Energy Conservation in Sensor Networks

EECDA: Energy Efficient Clustering and Data Aggregation Protocol for Heterogeneous Wireless Sensor Networks

Applying a Hybrid Polling Approach by Software Implementation to Extend the Lifetime of a Wireless Sensor Network

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