Energy Efficient Intra Cluster Transmission in Grid Clustering Protocol for Wireless Sensor Networks

Qasem, Asmaa Amer; Fawzy, Abd Elwahab; Shokair, Mona; Saad, Waleed; Elhalafawy, Said M.; Elkorany, Ahmed S.

doi:10.1007/s11277-017-4543-2

Cited by 15 publications

(6 citation statements)

References 19 publications

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“…If the distance is greater than d char MH is used, else DT is preferred. It is totally dependent on the design parameters [25] as follows:…”

Section: Beerad Protocolmentioning

confidence: 99%

“…All networks are heterogeneous; therefore, nodes have different levels of initial energies. The simulation parameters are given in Table 3 [25].…”

Section: Simulation Parametersmentioning

confidence: 99%

“…If the distance is greater than

d_{char}

MH is used, else DT is preferred. It is totally dependent on the design parameters [25] as follows:

d_{char} = \sqrt{\frac{- B + \sqrt{B^{2} - 4 A C}}{2 A}}

where

A = ε_{mp}, B = - ε_{fs} / 2, C = - 2 E_{elec} .

(2) Setup phase: This phase is assigned for optimal paths’ estimation. BS exploits the nodes’ information about locations and energy levels to set up the weight matrix of the network as explained previously in BEEMH.…”

Section: Proposed Techniquesmentioning

confidence: 99%

“…For further upcoming rounds, the routing table for far nodes is updated. On the other hand, the near nodes will use DT for rest of the network operation [25]; hence, their routing table would not need an update. This, of course, minimises the setup cost of the near nodes. (3) Steady‐state phase: This is the final stage where the energy levels of nodes are attached to the data packet.…”

Section: Proposed Techniquesmentioning

confidence: 99%

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Balanced and energy‐efficient multi‐hop techniques for routing in wireless sensor networks

2018

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In Wireless Sensor Networks, the power resources of the nodes are significantly restricted. Hence, a special treatment for their available energy is deeply required. In long distance transmission, Multi-Hop (MH) techniques are preferred. Although MH minimizes the amount of energy cost consumed by each node along the path but finding the optimal routing path between nodes is still very interesting issues. This paper proposes a Balanced and Energy Efficient MH (BEEMH) algorithm that is developed based on Dijkstra algorithm. It gives great interest to the residual energy of nodes; hence higher energy nodes are exclusively elected to work as relays. Moreover, the total energy consumption at both TX and RX has been merged to model the weight of links between nodes. Finally, Dijkstra algorithm is employed to efficiently search for the minimum cost path. Furthermore, two proposed MH protocols are introduced. Both are mainly based on the BEEMH algorithm. MATLAB simulator has been used to evaluate BEEMH in comparison with other conventional algorithms such as; minimum transmission energy (MTE), energy saving oriented least-hop routing algorithm (ESLHA), and energy saving-oriented routing algorithm based on Dijkstra (ESRAD) under various scenarios of network models. Then the performance of our proposed protocols is compared with the related MH protocols.

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“…If the distance is greater than d char MH is used, else DT is preferred. It is totally dependent on the design parameters [25] as follows:…”

Section: Beerad Protocolmentioning

confidence: 99%

“…All networks are heterogeneous; therefore, nodes have different levels of initial energies. The simulation parameters are given in Table 3 [25].…”

Section: Simulation Parametersmentioning

confidence: 99%

“…If the distance is greater than

d_{char}

MH is used, else DT is preferred. It is totally dependent on the design parameters [25] as follows:

d_{char} = \sqrt{\frac{- B + \sqrt{B^{2} - 4 A C}}{2 A}}

where

A = ε_{mp}, B = - ε_{fs} / 2, C = - 2 E_{elec} .

Section: Proposed Techniquesmentioning

confidence: 99%

Section: Proposed Techniquesmentioning

confidence: 99%

See 2 more Smart Citations

Balanced and energy‐efficient multi‐hop techniques for routing in wireless sensor networks

2018

Self Cite

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“…The radio model [ 30 , 32 , 33 ] adopted in this paper is shown in Figure 2 , and it contains a two-ray ground propagation model and free space model according to the distance from data transmitter to receiver.…”

Section: System Modelmentioning

confidence: 99%

A Game Theoretic Approach for Balancing Energy Consumption in Clustered Wireless Sensor Networks

Yang

Xiong

et al. 2017

Sensors

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Clustering is an effective topology control method in wireless sensor networks (WSNs), since it can enhance the network lifetime and scalability. To prolong the network lifetime in clustered WSNs, an efficient cluster head (CH) optimization policy is essential to distribute the energy among sensor nodes. Recently, game theory has been introduced to model clustering. Each sensor node is considered as a rational and selfish player which will play a clustering game with an equilibrium strategy. Then it decides whether to act as the CH according to this strategy for a tradeoff between providing required services and energy conservation. However, how to get the equilibrium strategy while maximizing the payoff of sensor nodes has rarely been addressed to date. In this paper, we present a game theoretic approach for balancing energy consumption in clustered WSNs. With our novel payoff function, realistic sensor behaviors can be captured well. The energy heterogeneity of nodes is considered by incorporating a penalty mechanism in the payoff function, so the nodes with more energy will compete for CHs more actively. We have obtained the Nash equilibrium (NE) strategy of the clustering game through convex optimization. Specifically, each sensor node can achieve its own maximal payoff when it makes the decision according to this strategy. Through plenty of simulations, our proposed game theoretic clustering is proved to have a good energy balancing performance and consequently the network lifetime is greatly enhanced.

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Specifying the Optimal Transmission Manner in WSNs: Analysis and Simulation

Fawzy

Shokair

Saad

2018

Wireless Pers Commun

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Energy Efficient Intra Cluster Transmission in Grid Clustering Protocol for Wireless Sensor Networks

Cited by 15 publications

References 19 publications

Balanced and energy‐efficient multi‐hop techniques for routing in wireless sensor networks

Balanced and energy‐efficient multi‐hop techniques for routing in wireless sensor networks

A Game Theoretic Approach for Balancing Energy Consumption in Clustered Wireless Sensor Networks

Specifying the Optimal Transmission Manner in WSNs: Analysis and Simulation

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