Energy efficient routing and bypassing energy-hole through mobile sink in WSN

Banerjee, Ritwik; Bhattacharyya, Chandan Kr.

doi:10.1109/iccci.2014.6921776

Cited by 9 publications

(6 citation statements)

References 5 publications

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“…In [25] the authors restrict the number of CH advertisement to the optimal number of the CH count during CH selection time, in order to save energy. A lot of clustering protocol has been proposed in various literature but they doesnot consider the energy hole situation [26][27][28][29][30][31].…”

Section: Related Workmentioning

confidence: 99%

Minimizing the Energy Hole Problem in Wireless Sensor Networks: A Wedge Merging Approach

Sharmin

Karmaker

Lambert

et al. 2020

Sensors

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The Energy hole problem, a common phenomenon in wireless sensor networks, significantly decreases the lifetime of any deployed network. Some of the popular techniques to minimize such problems are using mobile sinks instead of static sinks, extending the transmission range dynamically, and deploying redundant sensor nodes near the base station/sink. The major drawback to these techniques are that energy holes may still be created at some point due to their static nature of deployment, despite having the overall residual energy very high. In this research work, we adopt a new approach by dividing the whole network into equiangular wedges and merging a wedge with its neighboring wedge dynamically whenever individual residual energy of all member nodes of a wedge fall below a threshold value. We also propose an efficient Head Node (HN) selection scheme to reduce the transmission energy needed for forwarding data packets among Head Nodes. Simulation results show that WEMER, our proposed WEdge MERging based scheme, provides significantly higher lifetime and better energy efficiency compared to state-of-the-art Power-Efficient Gathering in Sensor Information Systems (PEGASIS) and contemporary Concentric Clustering Scheme (CCS), and Multilayer Cluster Designing Algorithm (MCDA).

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Section: Related Workmentioning

confidence: 99%

Minimizing the Energy Hole Problem in Wireless Sensor Networks: A Wedge Merging Approach

Sharmin

Karmaker

Lambert

et al. 2020

Sensors

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show abstract

“…It results in sudden death for some sensors that are very close to static sink node, and hence, the lifetime of the whole network will be threatened. In this paper, we aim to develop a novel clusterbased real-time routing protocol that will provide a balanced loading between clusters, and to avoid the 'energy hole' problem, we will consider mobility to the BS [6]. We will also consider the real challenge of continuous location updating for the BS without compromising energy efficiency and low latency for real-time and non-real-time data.…”

Section: Introductionmentioning

confidence: 99%

“…To prolong the network lifetime, it is required to fix the maximum number of sensor nodes under cluster heads so that no cluster head will come to an end too early [3]. Traditional WSN is composed of stationary sensor node; basically, the immobile BS may incur another serious issue on energy threat-the 'energy hole' problem [6]. The sensors near the BS have to participate in communication on behalf of other sensors and thus will drain their energy very quickly.…”

Section: Introductionmentioning

confidence: 99%

Power Optimized Real Time Communication Through the Mobile Sink in WSNs

Banerjee

Bhattacharyya

2014

Advances in Intelligent Systems and Computing

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In the recent decades, computer science and engineering has found an emerging research domain in data communication network field, the WSN. WSN applications are generally deployed in fields where uninterrupted supervisions are required. In WSN applications, thousands of energy-constrained sensor nodes are used to sense the data from the deployed environment and transmit the sensed data to the base station (BS). Recent advances in wireless sensor networks lead to rapid development of real-time applications. The requirement of low latency in communication and maximum utilization of node's battery power are becoming more and more important issues in emerging applications especially in fire monitoring, medical care, battle field surveillance, etc. The cluster-based routing protocols can improve the energy life of the sensors and hence can prolong the entire network lifetime but uneven load distribution among the clusters, and static BS may lead to energy hole problem to the entire communication network. In this paper, we present a novel real-time energy-efficient routing protocol in a different way so that real-time communication is achieved by allowing low latency, but it must not incur infinite bounded waiting for the non-real-time regular data communications. This paper also considers mobile sink node to avoid the energy hole problem.

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“…When a sink collects, processes, and uses data, it can be configured as a desktop or a server in a fixed location, but it can also be a mobile device that requests data from constantly changing locations [2]. For the sink with mobility, a clustering technique different from the existing methods is required, and various studies have been conducted in the literature [3][4][5][6][7][8][9][10]. Research in the field of sensor networks can be largely categorized into cluster configuration, cluster head selection and replacement, and multi-hop routing.…”

Section: Introductionmentioning

confidence: 99%

DDCP: The Dynamic Differential Clustering Protocol Considering Mobile Sinks for WSNs

2023

KSII TIIS

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In this paper, we extended a hierarchical clustering technique, which is the most researched in the sensor network field, and studied a dynamic differential clustering technique to minimize energy consumption and ensure equal lifespan of all sensor nodes while considering the mobility of sinks. In a sensor network environment with mobile sinks, clusters close to the sinks tend to consume more forwarding energy. Therefore, clustering that considers forwarding energy consumption is desired. Since all clusters form a hierarchical tree, the number of levels of the tree must be considered based on the size of the cluster so that the cluster size is not growing abnormally, and the energy consumption is not concentrated within specific clusters. To verify that the proposed DDC protocol satisfies these requirements, a simulation using Matlab was performed. The FND (First Node Dead), LND (Last Node Dead), and residual energy characteristics of the proposed DDC protocol were compared with the popular clustering protocols such as LEACH and EEUC. As a result, it was shown that FND appears the latest and the point at which the dead node count increases is delayed in the DDC protocol. The proposed DDC protocol presents 66.3% improvement in FND and 13.8% improvement in LND compared to LEACH protocol. Furthermore, FND improved 79.9%, but LND declined 33.2% when compared to the EEUC. This verifies that the proposed DDC protocol can last for longer time with more number of surviving nodes.

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Energy efficient routing and bypassing energy-hole through mobile sink in WSN

Cited by 9 publications

References 5 publications

Minimizing the Energy Hole Problem in Wireless Sensor Networks: A Wedge Merging Approach

Minimizing the Energy Hole Problem in Wireless Sensor Networks: A Wedge Merging Approach

Power Optimized Real Time Communication Through the Mobile Sink in WSNs

DDCP: The Dynamic Differential Clustering Protocol Considering Mobile Sinks for WSNs

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