Multiple sink deployment in multi-hop wireless sensor networks to enhance lifetime

Chatterjee, Punyasha; Das, Nabanita

doi:10.1109/aimoc.2015.7083829

Cited by 23 publications

(13 citation statements)

References 18 publications

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“…In Farooq et. al study, they proposed a technique called "Low-Power and Lossy Networks" RPL [11]. In this technique they solved high data traffic jam via selected the optimal path, that is used for routing data from sensor node to the GMSs with minimum number of hop, lowest latency and maximum PDR.…”

Section: Related Workmentioning

confidence: 99%

“…In this technique they solved high data traffic jam via selected the optimal path, that is used for routing data from sensor node to the GMSs with minimum number of hop, lowest latency and maximum PDR. The path selection is based on number of parameters such as the size of remaining data on communication link (large size means more bandwidth available on the link), the waiting time for each packet in "MAC layer queue" [11] before it conveyed to the next destination node (i.e. latency), managing data packet in MAC layer buffer or queue occupancy (e.g.…”

Section: Related Workmentioning

confidence: 99%

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Evaluation of routing protocol with multi-mobile sinks in WSNs using QoS and energy consumption parameters

Shiltagh¹,

Abdullah²,

Zarzoor³

2019

IJECE

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An efficient networks’ energy consumption and Quality of Services (QoS) are considered the most important issues, to evaluate the route quality of the designed routing protocol in Wireless Sensor Networks (WSNs). This study is presented an evaluation performance technique to evaluate two routing protocols: Secure for Mobile Sink Node location using Dynamic Routing Protocol (SMSNDRP) and routing protocol that used K-means algorithm to form Data Gathered Path (KM-DGP), on small and large network with Group of Mobile Sinks (GMSs). The propose technique is based on QoS and sensor nodes’ energy consumption parameters to assess route quality and networks’ energy usage. The evaluation technique is conducted on two routing protocols in two phases: The first phase is used to evaluate the route quality and networks’ energy consumption on small WSN with one mobile Sink Node (SN) and GMSs. The second phase, is used to evaluate the route quality and networks’ energy consumption on large network (four WSNs) with GMSs. The two phases are implementated by creating five sceneries via using NS2.3 simulator software. The implementation results of the proposed performance evaluation technique have demonstrated that SMSNDRP gives better networks’ energy consumption on small single network in comparison with KM-DGP. Also, it gives high quality route in large network that used four mobile SN, in contrast to KM-DGP that used sixteen mobile SNs. While in large network, it found that KM-DGP with sixteen mobile SNs gives better networks’ energy consumption in comparison with SMSNDRP with four mobile SNs.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Evaluation of routing protocol with multi-mobile sinks in WSNs using QoS and energy consumption parameters

Shiltagh¹,

Abdullah²,

Zarzoor³

2019

IJECE

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“…This will create holes in the network and this will result in early death of network. To avoid this author of work [15]provided concept of multiple sink. When multiple sinks are used then total load is distributed properly.…”

Section: Releted Workmentioning

confidence: 99%

“…Instead of creating single routing tree they have created multiple routing trees towards each sink in the network. This reduces extra time and energy consumption [15].…”

Section: Releted Workmentioning

confidence: 99%

Load Balancing and Energy Efficiency in WSN by Cluster Joining Method

Ali¹,

Sheela²,

Fatima³

et al. 2019

IJARET

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In any WSN life of network is depending on life of sensor node. Thus, proper load balancing is very useful for improving life of network. The tree-based routing protocols like GSTEB used dynamic tree structures for routing without any formation of collections. In cases of larger networks, the scheme is not always feasible.this In proposed work cluster-based routing method is used. Cluster head is selected such that it should be close to the base station and should have maximum residential energy than other nodes selected for cluster formation. Size of cluster is controlled by using locationbased cluster joining method such that nodes selects their nearest collection head based on the signal strength from cluster head and distance between node and cluster head. Nodes connect to head having the highest signal strength and closest to the base station, this minimizes size of cluster and reduces extra energy consumption. In addition to this cluster formation process starts only after availability of data due to an event. So proposed protocol performs better than existing tree based protocols like GSTEB in terms of energy efficiency.

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“…(Chatterjie et.al 2014) [35] In multiple hop single sink system node close to the sink dissipate energy at faster rate as it transfer all the packets from network to sink due to which energy holes are formed near sink. To improve network lifetime this paper proposed a network with multiple sinks in order to balance the load.…”

Section: International Journal Of Computer Applications (0975 -8887) mentioning

confidence: 99%

A Review of Various Scheduling Techniques Considering Energy Efficiency in WSN

Kaur¹,

Sharma²

2017

IJCA

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In advanced computing the Wireless Sensor Networks becomes the need of hour. The resources which are used in Wireless sensor Networks are limited in numbers. Resources are required to be allocated wisely to perform the numerous tasks in which job scheduling is always considered to be a key feature. Wireless sensor network has many sensor nodes as which are considered to be main components. Sensor node has limited energy and storage capabilities. So energy consumption in this field during scheduling is a biggest issue. This issue is carried out by many researchers and legion of algorithms are devised for achieving energy efficiency during scheduling of resources in wireless sensor networks. In this paper we have focused both the moving and stationery nodes for our study. Moving nodes are considered to be more prone to energy loss as compared to static nodes. This paper aims to study various techniques used to perform scheduling among such nodes to minimize energy consumption.

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Multiple sink deployment in multi-hop wireless sensor networks to enhance lifetime

Cited by 23 publications

References 18 publications

Evaluation of routing protocol with multi-mobile sinks in WSNs using QoS and energy consumption parameters

Evaluation of routing protocol with multi-mobile sinks in WSNs using QoS and energy consumption parameters

Load Balancing and Energy Efficiency in WSN by Cluster Joining Method

A Review of Various Scheduling Techniques Considering Energy Efficiency in WSN

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