Load-balanced clustering of wireless sensor networks

Gupta, Garima; Younis, Mohamed

doi:10.1109/icc.2003.1203919

Cited by 296 publications

(269 citation statements)

References 11 publications

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“…The system architecture promotes the idea of clustering to ensure scalability. Cluster formation approaches can account for resource requirements at the gateway node to cope with the responsibility of managing the assigned sensors [35]. Dependability issues related to the centralized network control can be addressed by faulttolerance techniques [21] or through limited-scope reclustering [36].…”

Section: Energy-conscious Message Routingmentioning

confidence: 99%

Energy-aware management for cluster-based sensor networks

2003

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Networking unattended sensors is expected to have a significant impact on the efficiency of many military and civil applications. Sensors in such systems are typically disposable and expected to last until their energy drains. Therefore, energy is a very scarce resource for such sensor systems and has to be managed wisely in order to extend the life of the sensors for the duration of a particular mission. In this paper, we present a novel approach for energy-aware management of sensor networks that maximizes the lifetime of the sensors while achieving acceptable performance for sensed data delivery. The approach is to dynamically set routes and arbitrate medium access in order to minimize energy consumption and maximize sensor life. The approach calls for network clustering and assigns a less-energy-constrained gateway node that acts as a cluster manager. Based on energy usage at every sensor node and changes in the mission and the environment, the gateway sets routes for sensor data, monitors latency throughout the cluster, and arbitrates medium access among sensors. We also describe a time-based Medium Access Control (MAC) protocol and discuss algorithms for assigning time slots for the communicating sensor nodes. Simulation results show an order of magnitude enhancement in the time to network partitioning, 11% enhancement in network lifetime predictability, and 14% enhancement in average energy consumed per packet.

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Section: Energy-conscious Message Routingmentioning

confidence: 99%

Energy-aware management for cluster-based sensor networks

2003

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“…In a cluster based load balancing [6], the maximum transmission power of the nodes is used to become the cluster member. Cluster membership depends on the communication cost.…”

Section: Related Workmentioning

confidence: 99%

“…In either case, the command node cannot be reached efficiently by all the sensors in the system. The nodes that are located far away from the command node will consume more energy to transmit data then other nodes and therefore will die sooner [6].…”

Section: Introductionmentioning

confidence: 99%

Load Balancing Based Approach To Improve Lifetime Of Wireless Sensor Network

Wajgi¹,

Thakur²

2012

IJWMN

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“…Such devices are called wireless sensor nodes. The wireless sensor network (WSN) is a collection of small, wirelessly communicating nodes where each WSN node is equipped with several ingredients [1][2][3]. A diversity of sensors may be connected to the WSN node to measure attributes of phenomena.…”

Section: Introductionmentioning

confidence: 99%

EFP: New Energy-Efficient Fault-Tolerant Protocol for Wireless Sensor Network

Arabi¹,

Parikhani²

2012

IJCNC

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Saving energy and increasing network lifespan are important problems in wireless sensor networks (WSNs). WSNs with many small nodes can be used for monitoring and controlling the physical environments. This network due to the shared wireless environment and deployed unpleasant surroundings is fault prone. This paper introduces the New Energy-efficient Fault-tolerant Protocol for Wireless Sensor Network. Proposed EFP protocol, aims to decrease the consumption of the network resources in each round of data communication and aggregation and it is a fault tolerant technique that guarantees trustworthy of the communications between sensor nodes and base station by selecting a best sensor node as a cluster head in terms of energy and distance and electing a reserved cluster-head.Simulation results demonstrate that the suggested protocol has higher efficiency and can prolong the network lifetime.

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Load-balanced clustering of wireless sensor networks

Cited by 296 publications

References 11 publications

Energy-aware management for cluster-based sensor networks

Energy-aware management for cluster-based sensor networks

Load Balancing Based Approach To Improve Lifetime Of Wireless Sensor Network

EFP: New Energy-Efficient Fault-Tolerant Protocol for Wireless Sensor Network

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