Energy-efficient routing protocols for solving energy hole problem in wireless sensor networks

Mohemed, Reem E.; Saleh, Ahmed I.; Abd-Elrazzak, Maher M.; Samra, Ahmed S.

doi:10.1016/j.comnet.2016.12.011

Cited by 101 publications

(49 citation statements)

References 21 publications

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“…Authors in [20]for resolving the energy hole issue, deployed a number of sensor nodes nearby the sink. Authors in [23]for resolving energy hole issue, used two sensor nodes with additional energy deployed in the central region of the system. Sensor nodes that are nearby to sink will transfer data straight away to the BS once the clustering is done.…”

Section: Related Workmentioning

confidence: 99%

Reduction of Energy Hole in WSN

2019

IJEAT

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Energy hole problem in the wireless sensor network (WSN) is a critical issue due to the energy discharge of the sensor nodes in a rapid manner which lies closer to the sink. This is because of the fact that nearer sensor nodes send their own information as well as the information received from other regions to the sink. After sometime these sensor nodes start losing their power levels and become incapable to transfer data to sink and perform other activities despite the fact the energy of nodes in other regions are still unused which further disturbs the network performance. In this article, we have proposed a Concentric Layered Hexagonal Network Division Approach (CLHND) for solving energy hole issue. Initially, the network is divided into concentric hexagons and each hexagon act as a different layer. After that, each hexagon is divided into six equal portions. In the subsequent stage, the larger layer will be selected from all other layers. Now to decrease additional energy discharging from this layer, numerous sensor nodes positioned. In the final phase to prevent the energy hole issue, a suitable directing and ordering have been done which further improves network lifetime. The simulation results showed that the proposed CLHND approach has resolved the energy hole issue as compared to the existing techniques such as HRTBR and SEHP.

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Section: Related Workmentioning

confidence: 99%

Reduction of Energy Hole in WSN

2019

IJEAT

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“…In WSN the routing protocols can be classified into two groups: proactive [18] and reactive [19] routing protocols. Proactive protocols are based on tables and determine the routes independently of the traffic model.…”

Section: Wireless Sensor Networkmentioning

confidence: 99%

Comparison Between Reactive and Proactive Protocols of Wireless Sensor Networks: Railway Application

Del-Valle-Soto¹,

Valdivia

Velazquez³

2019

PROMET

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Railway is a critical application; hence, all systems that compose the railway infrastructure must meet two conditions: availability and safety. The availability ensures continuous operation of the system; on the other hand, safety is achieved when the device works properly regardless of the environmental or operating conditions. In addition, Wireless Sensor Networks (WSN) are used to perform tasks previously performed manually. However, it is necessary to analyse what protocol is appropriate for the railway industry, since availability and safety are the required attributes. In this work, a recently proposed routing protocol, the Multi-Parent Hierarchical (MPH), has been compared with a well-known protocol, the Ad-hoc On-Demand Distance Vector (AODV), in order to find the most suitable one for the railway applications. For this purpose, a simulator has been developed, which faithfully reifies the workings of a given protocol, considering a fixed, reconfigurable ad-hoc network given by the number and location of participants, and general network conditions.

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“…Finally, the minimization of energy utilized in topology reformation is achieved by reducing the trade-off between the network overhead and connectivity. 20 The foremost contributions of this research are as follows…”

Section: Introductionmentioning

confidence: 99%

A fuzzy multicriteria decision‐making‐based CH selection and hybrid routing protocol for WSN

Sreedharan

Pete

2020

Int J Communication

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Summary One of the famous approaches to decision making is named as multicriteria decision making (MCDM). In order to solve the MCDM issues, a better way is provided by the fuzzy logic. Expendability, cost, maintenance, availability of software, and performance characteristics are such problems considered by the decision. The precise estimation of the pertinent data is one of the vital phases in DM systems. This paper presents a fuzzy MCDM‐based cluster head (CH) selection and hybrid routing protocol to solve the most common issues. In this research article, the generalized intuitionistic fuzzy soft set (GIFSS) approach is utilized to select the optimal CH, and hybrid shark smell optimization (SSO), and a genetic algorithm (GA) is introduced for the effective routing. Initially, the wireless sensor network (WSN) system and energy models are designed, and then the nodes are grouped into several clusters. Next, based on the GIFSS, the CH nodes are selected, and finally, an effective routing is placed based on the hybrid optimizations. The implementation is performed on the NS2 platform, and the performances are evaluated by packet delivery ratio (PDR), delay, packet loss ratio (PLR), network lifetime, bit error rate (BER), energy consumption, throughput, and jitter. The existing approaches named energy centers examining using particle swarm optimization (EC‐PSO), variable dimension‐based PSO (VD‐PSO), energy‐efficient PSO‐based CH selection (PSO‐ECHS), low‐energy adaptive clustering hierarchy‐sugeno fuzzy (LEACH‐SF), SSO, and GA are compared with the proposed strategy. According to the implemented outcomes, it displays the proposed strategy and gives improved outcomes than the others.

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Energy-efficient routing protocols for solving energy hole problem in wireless sensor networks

Cited by 101 publications

References 21 publications

Reduction of Energy Hole in WSN

Reduction of Energy Hole in WSN

Comparison Between Reactive and Proactive Protocols of Wireless Sensor Networks: Railway Application

A fuzzy multicriteria decision‐making‐based CH selection and hybrid routing protocol for WSN

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