A Framework for Designing Multihop Energy Harvesting Sensor Networks

Sunny, Albert; Kuri, Joy

doi:10.1109/jsac.2016.2551486

Cited by 13 publications

(5 citation statements)

References 22 publications

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“…An energy minimization approach based on the excess use of CHs is proposed in [36]. Energy harvesting wireless sensor network design based on the unified approach for the quality of monitoring is given in [37]. Using cooperative communication, a wireless power transfer strategy and transfer of the signal along with power signal is presented in [38] and [39], respectively.…”

Section: Literature Reviewmentioning

confidence: 99%

ICIC: A Dual Mode Intra-Cluster and Inter-Cluster Energy Minimization Approach for Multihop WSN

et al. 2022

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Energy minimization is one of the paramount issues in designing of the wireless sensor network and becomes more complex for multi-hop transmission. Furthermore, selection of multi hop route for the packets transmission is also a tedious task. In this paper, we propose an intra-cluster and inter-cluster (ICIC) energy minimization strategy for multihop wireless sensor network (WSN). In the proposed strategy, in intra cluster communication, a dynamic duty cycle allocation based on the cluster head (CH) node distance from the child nodes for the energy minimization is presented. In the inter cluster communication, minimum energy consumption route is chosen for the transmission of packets to base station (BS). The proposed strategy is compared with four state of the art techniques i.e., HEEMP, LEACH, MLEACH, and SEP protocols of clustering. The evaluation of the proposed and existing strategies is done in two different scenarios i.e., number of round and number of nodes. Results of the simulation show that the proposed strategy transmits more packets and has lower number of dead nodes than other strategies. Furthermore, proposed strategy utilizes more network energy and more energy for relaying.

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Section: Literature Reviewmentioning

confidence: 99%

ICIC: A Dual Mode Intra-Cluster and Inter-Cluster Energy Minimization Approach for Multihop WSN

et al. 2022

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“…They designed two algorithms: optimal power allocation for Gaussian channel and the operational algorithm and compared the greedy algorithm with the simulated annealing methods. Sunny et al [17] explained multi-hop energy harvesting techniques for wireless sensor networks. They designed a framework to monitor the quality in long term resource allocation.…”

Section: Related Workmentioning

confidence: 99%

Average Energy Analysis in Wireless Sensor Networks using Multitier Architecture

Singh¹

2019

IJPE

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The energy of sensor nodes plays a vital role in wireless sensor networks for different purposes such as sensing events, communicating among sensor nodes, and transmitting information from one node to another node. The average energy of the network is referred to as the ratio of the total energy of all sensor nodes in the network to the number of nodes. In this paper, multitier architecture is proposed for calculating the average energy and throughput of the network in terms of the number of packets reached at the base station (BS). The proposed approach has been compared with two existing approaches, the low energy adaptive clustering hierarchy and stable election protocol, in terms of average energy and throughput of the network. This paper presents the average energy of each node in the network in both 2D and 3D views for better interpretation of results. The proposed approach is 19.79% better in terms of average energy compared with the stable election protocol. The proposed approach is further compared with the low energy adaptive clustering hierarchy protocol and is found to be 34.20% better.

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“…For the case where the nodes can harvest energy from ambient environment, the work in [22] has proposed a system where several rovers are used to harvest energy from environment and to charge the sensor nodes to maximize the data flow of the sensor network. The authors of [23] have considered optimizing the routing and sensing for a WSN with energy harvesting capabilities in order to maximize the quality of monitoring. They formulated the problem as a resource allocation problem and presented an algorithm that provides a near-optimal solution.…”

Section: Related Workmentioning

confidence: 99%

Towards Immortal Wireless Sensor Networks by Optimal Energy Beamforming and Data Routing

Özçelikkale

Fischione

et al. 2018

IEEE Trans. Wireless Commun.

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A Framework for Designing Multihop Energy Harvesting Sensor Networks

Cited by 13 publications

References 22 publications

ICIC: A Dual Mode Intra-Cluster and Inter-Cluster Energy Minimization Approach for Multihop WSN

ICIC: A Dual Mode Intra-Cluster and Inter-Cluster Energy Minimization Approach for Multihop WSN

Average Energy Analysis in Wireless Sensor Networks using Multitier Architecture

Towards Immortal Wireless Sensor Networks by Optimal Energy Beamforming and Data Routing

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