Balanced Energy Efficient Rectangular routing protocol for Underwater Wireless Sensor Networks

Abbasi, Junaid Shabbir; Javaid, Nadeem; Gull, Saba; Islam, Saiful; Imran, Muhammad; Hassan, Najmul; Nasr, Kashif

doi:10.1109/iwcmc.2017.7986529

Cited by 10 publications

(7 citation statements)

References 15 publications

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“…However, in this method, the packet is dropped in case of the absence of the MS in the coverage area of the node. The same idea of the data forwarding mechanism is followed in [ 30 ]. However, the network division is done in ten rectangular sectors.…”

Section: Literature and Background Of Ua-wsnsmentioning

confidence: 99%

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CoSiM-RPO: Cooperative Routing with Sink Mobility for Reliable and Persistent Operation in Underwater Acoustic Wireless Sensor Networks

Ali

Khan

Aurangzeb

et al. 2019

Sensors

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An efficient algorithm for the persistence operation of data routing is crucial due to the uniqueness and challenges of the aqueous medium of the underwater acoustic wireless sensor networks (UA-WSNs). The existing multi-hop algorithms have a high energy cost, data loss, and less stability due to many forwarders for a single-packet delivery. In order to tackle these constraints and limitations, two algorithms using sink mobility and cooperative technique for UA-WSNs are devised. The first one is sink mobility for reliable and persistence operation (SiM-RPO) in UA-WSNs, and the second is the enhanced version of the SiM-RPO named CoSiM-RPO, which utilizes the cooperative technique for better exchanging of the information and minimizes data loss probability. To cover all of the network through mobile sinks (MSs), the division of the network into small portions is accomplished. The path pattern is determined for MSs in a manner to receive data even from a single node in the network. The MSs pick the data directly from the nodes and check them for the errors. When erroneous data are received at the MS, then the relay cooperates to receive correct data. The proposed algorithm boosts the network lifespan, throughput, delay, and stability more than the existing counterpart schemes.

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Section: Literature and Background Of Ua-wsnsmentioning

confidence: 99%

“…Furthermore, data forwarding in a cooperative manner leads to an increase in the energy cost of the network. The algorithms presented in [ 29 , 30 , 31 ] has no wait and data holding mechanism, and the data are dropped when an MS is not in the coverage of the node.…”

Section: Introductionmentioning

confidence: 99%

CoSiM-RPO: Cooperative Routing with Sink Mobility for Reliable and Persistent Operation in Underwater Acoustic Wireless Sensor Networks

Ali

Khan

Aurangzeb

et al. 2019

Sensors

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“…Thus energy efficient routing protocol is considered as a major goal for most researches to attain reduced power consumption in networks. Conventional techniques can be classified into two types: direct transmission [1][2][3] and multi hop transmission [4][5][6][7][8][9][10][11][12][13][14][15][16][17][18]. In direct transmission, the data is sent directly from nodes to base station.…”

Section: Introductionmentioning

confidence: 99%

Improved Energy Efficient Wireless Sensor Networks Using Balanced Multi-Hop Routing Protocol

Sivakumar¹,

Parthiban²

2018

IJET

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In this paper, consumption of energy by the sensor nodes in Wireless Sensor Nodes (WSNs) is been handled effectively using a combined technique. The objective of the paper is to increase the network lifetime with dynamic routing protocol. Here, the proposed routing algorithm, named Balanced Multi-Hop (BMH) protocol combines the multi-hop and direct transmission communication. This method further uses Dijkstra algorithm to route the packets between the sensor nodes and base station in mobile network. This method avoids the use of central router to control the other nodes. The results of the proposed method is tested against various result metrics. The evaluation over other existing methods prove that the BMH method achieves higher lifetime and high network throughput.

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“…To maximize the network lifespan and upgrade the entire network throughput, the authors present a routing scheme in [22]. The network is divided into rectangular regions.…”

mentioning

confidence: 99%

“…The below Table 2 shows the overview of all the reliable schemes. 2017 [22] Non-cooperative rectangular region region-based scheme, used two mobile sinks, best forwarder node is chosen by considering the nodes ID and nodes coordinates.…”

mentioning

confidence: 99%

Cooperative and Delay Minimization Routing Schemes for Dense Underwater Wireless Sensor Networks

et al. 2019

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Symmetry in nodes operation in underwater wireless sensor networks (WSNs) is crucial sothat nodes consume their energy in a balanced fashion. This prevents rapid death of nodes close towater surface and enhances network life span. Symmetry can be achieved by minimizing delay andensuring reliable packets delivery to sea surface. It is because delay minimization and reliability arevery important in underwaterWSNs. Particularly, in dense underworks, packets reliability is of seriousconcernwhen a large number of nodes advance packets. The packets collide and are lost. This inefficientlyconsumes energy and introduces extra delay as the lost packets are usually retransmitted. This is furtherworsened by adaptation of long routes by packets as the network size grows, as this increases the collisionprobability of packets. To cope with these issues, two routing schemes are designed for dense underwaterWSNs in this paper: delay minimization routing (DMR) and cooperative delay minimization routing(CoDMR). In the DMR scheme, the entire network is divided into four equal regions. The minor sinknodes are placed at center of each region, one in each of the four regions. Unlike the conventionalapproach, the placement of minor sink nodes in the network involves timer based operation and isindependent of the geographical knowledge of the position of every minor sink. All nodes havingphysical distance from sink lower than the communication range are able to broadcast packets directlyto the minor sink nodes, otherwise multi-hopping is used. Placement of the minor sinks in the fourregions of the network avoids packets delivery to water surface through long distancemulti-hopping,which minimizes delay and balances energy utilization. However, DMR is vulnerable to informationreliability due to single path routing. For reliability, CoDMR scheme is designed that adds reliabilityto DMR using cooperative routing. In CoDMR, a node having physical distance from the sink greaterthan its communication range, sends the information packets by utilizing cooperation with a singlerelay node. The destination and the relay nodes are chosen by considering the lowest physical distancewith respect to the desired minor sink node. The received packets at the destination node are merged byfixed ratio combining as a diversity technique. The physical distance computation is independent of thegeographical knowledge of nodes, unlike the geographical routing protocols. This makes the proposedschemes computationally efficient. Simulation shows that DMR and CoDMR algorithms outperformthe counterpart algorithms in terms of total energy cost, energy balancing, packet delivery ratio (PDR),latency, energy left in the battery and nodes depleted of battery power.

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Balanced Energy Efficient Rectangular routing protocol for Underwater Wireless Sensor Networks

Cited by 10 publications

References 15 publications

CoSiM-RPO: Cooperative Routing with Sink Mobility for Reliable and Persistent Operation in Underwater Acoustic Wireless Sensor Networks

CoSiM-RPO: Cooperative Routing with Sink Mobility for Reliable and Persistent Operation in Underwater Acoustic Wireless Sensor Networks

Improved Energy Efficient Wireless Sensor Networks Using Balanced Multi-Hop Routing Protocol

Cooperative and Delay Minimization Routing Schemes for Dense Underwater Wireless Sensor Networks

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