Mobile Sink-Based Adaptive Immune Energy-Efficient Clustering Protocol for Improving the Lifetime and Stability Period of Wireless Sensor Networks

Abo‐Zahhad, Mohammed; Ahmed, Sabah M.; Sabor, Nabil; Sasaki, Shigenobu

doi:10.1109/jsen.2015.2424296

Cited by 185 publications

(78 citation statements)

References 17 publications

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“…In Energy LEACH [6], the main parameter which decides whether the node will be cluster head or not is the remaining energy of the node. In LEACH-DCHS [7], the ratio between residual energy and initial energy of the node is taken as a part in the probability of selecting cluster head. Therefore, the node with high residual energy has more chance to become CH than a node with low energy node.…”

Section: Related Workmentioning

confidence: 99%

“…For a fair comparison between all the previous protocols, the radio model in [7] will be used. In this model a contention free MAC protocol for both transmission and receiving model is used, therefore interference from simultaneous transmission maybe avoided and neglected.…”

Section: System Modelmentioning

confidence: 99%

“…Figures 6 and 12 display the network lifetime, stability and instability period for LEACH [4], K-LEACH [8], DCHS [7], Energy-LEACH [6], MOD-LEACH [9] and BEEG, respectively for sink location at center and sink location at corner. Figure 7 and figure 13 show the FDN, HDN and LDN measures for sink location at center and sink location at corner.…”

Section: -Network Lifetimementioning

confidence: 99%

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Balanced Energy Efficient Grid Based Clustering Protocol for Wireless Sensor Networks

Amer¹

2017

IJCDS

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Due to the limited power of sensor nodes of Wireless Sensor Networks (WSN), routing in WSN becomes a hot topic for researchers to provide us several routing protocols for achieving minimum usage of power. Cluster size has a great effect on saving energy and enhancing the network lifetime in Cluster-Based Routing Protocols (CBRP). Energy consumption is increased either when the cluster is very large or very small. Therefore, optimum cluster size must be determined to enhance the Cluster-Based Routing Protocols performance. In this paper, authors will provide a mathematical analysis to calculate the optimum cluster size which is not clarified until now. On the basis of optimum cluster size, Balanced Energy Efficient Grid based Clustering protocol (BEEG) will be introduced. MATLAB will be used for evaluating the performance of our protocol. Simulation results show that proposed BEEG enhances the network lifetime and throughput more than other protocols such as LEACH, DCHS, K-LEACH, MOD-LEACH and Energy-LEACH.

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Section: Related Workmentioning

confidence: 99%

Section: System Modelmentioning

confidence: 99%

Section: -Network Lifetimementioning

confidence: 99%

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Balanced Energy Efficient Grid Based Clustering Protocol for Wireless Sensor Networks

Amer¹

2017

IJCDS

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“…Di Francesco et al [19] proposed that, due to the limited power of nodes, using one or more mobile sinks for data collection in WSNs is an effective method to solve the hotspot problem. Moreover, the number of dropped packets is reduced due to the movement of the mobile sink closer to the sensor nodes in the sensor field [20]. A type of data collection method with the help of multiple mobile sinks is proposed by Ren and Liang [21] which reduce not only the energy consumption of the whole network but also the transmission delay.…”

Section: Achieving Energy Balance With the Help Of Mobile Sink Or Optmentioning

confidence: 99%

A Type of Energy Hole Avoiding Method Based on Synchronization of Nodes in Adjacent Annuluses for Sensor Network

Sha

Chen

et al. 2016

International Journal of Distributed Sensor Networks

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For the purpose of balancing energy consumption of nodes in Wireless Sensor Networks (WSNs for short), a type of energy hole avoiding method based on synchronization of nodes in adjacent annuluses (SNAA for short) is proposed in this paper. The circular network is divided into virtual annuluses with the same width. Nodes are deployed nonuniformly and their number increases in geometric progression from the outer annuluses to the inner ones which could effectively reduce the work load on nodes near the center. Moreover, each node could find its optimal parent by considering the residual energy of each candidate as well as the distance between the two nodes in adjacent annuluses. And on the basis of synchronization of nodes between adjacent annuluses during their transmitting and receiving phases, a sleep scheduling strategy is also proposed to further reduce the energy consumption of nodes in idle listening mode. Simulation results show that SNAA has a superior performance on energy consumption balance compared to the algorithm proposed (Liu et al., 2013;Wu et al., 2008) and it could also mitigate the energy hole problem in WSNs.

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“…The protocol operation is divided into 3 phases [21] Initial Phase: The sink initializes the network by defining the number of nodes, the data packet size, control packet size, the size of sensing field. The connectivity between nodes and sink is always it has to be satisfied.…”

Section: Protocol Design:-mentioning

confidence: 99%

Enhanced Energy Efficient Clustering Protocol for Wireless Sensor Network.

Rajesh¹,

H.M²,

H.S³

2016

IJAR

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Mobile Sink-Based Adaptive Immune Energy-Efficient Clustering Protocol for Improving the Lifetime and Stability Period of Wireless Sensor Networks

Cited by 185 publications

References 17 publications

Balanced Energy Efficient Grid Based Clustering Protocol for Wireless Sensor Networks

Balanced Energy Efficient Grid Based Clustering Protocol for Wireless Sensor Networks

A Type of Energy Hole Avoiding Method Based on Synchronization of Nodes in Adjacent Annuluses for Sensor Network

Enhanced Energy Efficient Clustering Protocol for Wireless Sensor Network.

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