Energy Efficient Extended Coverage in Wireless Sensor Networks

Tarasia, Nachiketa; Lenka, Manas Ranjan; Swain, Amulya Ratna

doi:10.1109/aina.2015.192

Cited by 4 publications

(3 citation statements)

References 16 publications

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“…The construction of hierarchical structure plays a vital role in designing different media access control (MAC) and routing protocols for WSN [36], [28]. Considering this fact, Dash et al [29] proposed a distributed algorithm[] to construct the hierarchical structure where each node maintains two parents expect the sink node.…”

Section: State Of Artmentioning

confidence: 99%

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A Level-Wise Periodic Tree Construction Mechanism for Sleep Scheduling in WSN

Tarasia

Swain

Roy

et al. 2020

J. commun. softw. syst. (Online)

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The wireless sensor network (WSN) has been extensively used to monitor and control the natural ecosystem on a large scale like air quality, natural life, etc. Low battery power,low storage, and limited processing ability are the most critical areas of concern in WSN. To reduce energy utilization, the sensor nodes in WSN work in a cyclic process between active and sleep mode. A certain number of nodes are chosen active and they are responsible for sensing as well as data transmission and rest of the nodes are gone to sleep. In order to lengthen the lifetime of network, in this paper we proposed a level wise periodic tree construction algorithm that uses a specific set of nodes to participate in tree construction, instead of all the nodes, to minimize the energy consumption. In this proposed approach, the main idea is to put the nodes, which are currently active and have already spent a significant amount of energy, to sleep mode, while giving chances to the leaf nodes, which has comparatively spent less energy, to become an active node and maintain connectivity. The performance of the proposed protocol is evaluated using the Castalia simulator. The simulation results show that the proposed level-wise periodic tree construction approach increases the durability of the network in conjunction with the non-level approach.

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Section: State Of Artmentioning

confidence: 99%

“…A combination of connectivity and complete in WSN is proposed in [8], [28]. The proposed approach seemed to be quite useful in enhancing the overall network lifetime.…”

Section: State Of Artmentioning

confidence: 99%

A Level-Wise Periodic Tree Construction Mechanism for Sleep Scheduling in WSN

Tarasia

Swain

Roy

et al. 2020

J. commun. softw. syst. (Online)

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“…The algorithm assumes that communication usually happens among same pair of nodes with minimal reconfigurations and provides key for appropriate linear programming problem. A coverage algorithm is proposed in [15], the hierarchical structure is constructed and extended for complete coverage area. The routing algorithm constructs a tree structure such that only participating nodes are active and the other nodes will be in sleep mode.…”

Section: Related Workmentioning

confidence: 99%

Performance analysis of EEDR routing protocol for WSNs

Shankarappa¹,

Shankar²

2017

IET wirel. sens. syst.

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Wireless Sensor Networks (WSNs) possess formidable design challenges in Energy constrained operation, Communication range, Memory and processing power constraints, Bandwidth constrained links, Dynamic network topologies and Network traffic patterns. These new-found types of networks are largely dictated by application requirements and characterized by severe resource constraints in terms of available energy, computational and communication capabilities. Routing is one of the significant design considerations in WSNs, more especially under severe energy constraints. In this paper the Energy Efficient Distributed Receiver (EEDR) based routing protocol for WSNs is proposed. The proposed work employs the concept of initiating the route from the receiver side instead of sender side. The procedure aims to opt the best route from the multiple routes based on the quality of the multiple channels. The main outcomes of EEDR protocol are (1) Finding a stable route between the source and the destination, (2) adaptation to dynamic conditions of the links with very small delay, (3) Reducing the power consumption of node, (4) Improving the lifetime of the node. The simulation results shows that, for EEDR protocol, the node energy consumption is very less, reduced end-to-end delay and increased throughput. EEDR also ensures loop free routing with reduced hop count.

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Modified Trust Value Based Approach to Secure Wireless Sensor Networks

Kaur

Kad

2018

Communications in Computer and Information Science

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Energy Efficient Extended Coverage in Wireless Sensor Networks

Cited by 4 publications

References 16 publications

A Level-Wise Periodic Tree Construction Mechanism for Sleep Scheduling in WSN

A Level-Wise Periodic Tree Construction Mechanism for Sleep Scheduling in WSN

Performance analysis of EEDR routing protocol for WSNs

Modified Trust Value Based Approach to Secure Wireless Sensor Networks

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