A distributed energy aware routing protocol for wireless sensor networks

Moussaoui, Omar; Naïmi, Mohamed

doi:10.1145/1089803.1089964

Cited by 30 publications

(11 citation statements)

References 10 publications

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“…This increases the lifetime of the system. Distributed Energy-efficient Clustering Hierarchy Protocol (DECHP) [14], which distributes the energy dissipation evenly among all sensor nodes to improve network lifetime and average energy savings. DECHP uses a geographical and energy aware neighbour CHs selection heuristic to transfer fused data to the BS.…”

Section: Fig 2 Cluster-based Mechanism Inwsnsmentioning

confidence: 99%

Efficient Cluster Head Selection Scheme for Data Aggregation in Wireless Sensor Network

Maraiya¹,

Kant²,

Gupta³

2011

IJCA

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A wireless sensor network is a resource constraint network, in which all sensor nodes have limited resources. In order to save resources and energy, data must be aggregated, and avoid amounts of traffic in the network. The aim of data aggregation is that eliminates redundant data transmission and enhances the life time of energy in wireless sensor network. Data aggregation process has to be done with the help of effective clustering scheme .in this paper we gives new scheme related to clustering for data aggregation called "Efficient cluster head selection scheme for data aggregation in wireless sensor network" (ECHSSDA), also we compare our propose scheme to the LEACH clustering algorithm. Comparison is based on the energy consumption, cluster head selection and cluster formation. In which we predict that, our propose algorithm is better than LEACH in the case of consume less energy by the cluster node and cluster head sending data to the base station consume less energy as better then LEACH.

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Section: Fig 2 Cluster-based Mechanism Inwsnsmentioning

confidence: 99%

Efficient Cluster Head Selection Scheme for Data Aggregation in Wireless Sensor Network

Maraiya¹,

Kant²,

Gupta³

2011

IJCA

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“…Many routing schemes have been proposed that can use the limited power resources of a sensor node efficiently to improve the lifetime of a WSN [11,12]. In general, these schemes attempt to find a path that consumes minimum energy to optimize energy utilization.…”

Section: Energy-efficient Routingmentioning

confidence: 99%

Bounds on coverage time and node density for multi-modality sensing

2009

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“…In our simulation experiments analysis, we use the radio model [8] to discussed. The transmit and receive energy costs for the transfer of a k-bit data message between two nodes separated by a distance of r meters is given by equations 1 and 2, respectively.…”

Section: 2、、、、The Radio Modelmentioning

confidence: 99%

A Coverage and Connectivity Method to Cluster Topology in Wireless Sensor Networks

Wang

2007

21st International Conference on Advanced Information Networking and Applications Workshops (AINAW'07)

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That is always an important topic to extend the whole lifetime in wireless network environment. How to make use of the consumption of the limited energy in the sensor nodes? How many sensor nodes can establish an optimum cluster? This paper proposes an optimum nodes number on clustering-based routing protocol called CCC (Coverage and Connectivity method to Cluster topology), which utilizes a node of its' optimum coverage and connectivity to transmit to another node and calculate the quantity of the nodes of an optimum cluster. In this article, the CCC, which is distributed the energy dissipation of sensor nodes and average energy savings. The performance of CCC is then compared to clustering-based schemes such as Low-Energy Adaptive Clustering Hierarchy (LEACH). Simulation results show that CCC improves network lifetime and reduces whole average of energy consumption.

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A distributed energy aware routing protocol for wireless sensor networks

Cited by 30 publications

References 10 publications

Efficient Cluster Head Selection Scheme for Data Aggregation in Wireless Sensor Network

Efficient Cluster Head Selection Scheme for Data Aggregation in Wireless Sensor Network

Bounds on coverage time and node density for multi-modality sensing

A Coverage and Connectivity Method to Cluster Topology in Wireless Sensor Networks

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