An Novel Energy-Efficient Minimum Routing Algorithm (EEMR) in Wireless Sensor Networks

Zhang, Ming; Wang, Suoping; Liu, Chao; Feng, Haibo

doi:10.1109/wicom.2008.941

Cited by 6 publications

(3 citation statements)

References 9 publications

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“…An intra-cluster routing algorithm is used for high density WSNs [7]. Energy-Efficient Minimum Routing algorithm (EEMR) improves energy utility in sensor network by changing activity of wireless communication module [8] [9]. It is better in high density deployment and low traffic.…”

Section: Hybrid Routing Protocolmentioning

confidence: 99%

Concept of ADSR for Mobile AdHoc Networks/Wireless Sensor Networks

Mishra

Vijay

2017

JoWC

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Wireless AdHoc and sensor networks are very broadly used in many remote applications. AdHoc networks still have problems in conveying data from one node to other node. This problem further increases with the mobile nodes. Now a days different routing algorithms are being developed for mobile wireless AdHoc networks. In this paper, some of them are discussed. Mobile Ad hoc networks and Mobile Wireless Sensor Networks are similar to each other as both depend on hop-to-hop routing. So, protocols developed for Mobile ad-hoc networks are also used in many Mobile sensor applications. In this paper Angle based DSR is discussed, which is developed for Mobile AdHoc networks or mobile Wireless Sensor Networks and derived from changes done in DSR, which was developed for MANETs. Moto of this paper is to give an idea that other protocols which were developed for MANETs can be completely used in Mobile WSNs, by having angle-based mechanism, as described in ADSR.

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Section: Hybrid Routing Protocolmentioning

confidence: 99%

Concept of ADSR for Mobile AdHoc Networks/Wireless Sensor Networks

Mishra

Vijay

2017

JoWC

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“…We put forward the new state conversion model which has flag of valve which depend on the EPGR state model. In this model, each node has six operation modes [32]: mode 1: sleeping-sensing off and radio off; mode 2: sensingsensing on and radio off; mode 3: receiving sensing on and radio receiving; mode 4: transmitting -sensing on and radio transmitting; mode 5: listening -sensing on; mode 6:long sleeping-sensing off and radio off for ever ,no responding.…”

Section: Node State Transition Modelmentioning

confidence: 99%

Energy-Balanced Distributed Clustering Algorithm in Wireless Sensor Networks

Zhang¹

2013

JSW

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In order to prolong the wireless sensor network lifetime, an novel energy balanced distributed clustering (EBDC) algorithm based on virtual grid is proposed. EBDC has three obvious features: Firstly, it adopts virtual grid ideas to divide each cluster into M×N square area and select a working node in each grid to reduce redundant information and save energy. Secondly, cluster head is distributed generated according to the probability which includes the residual energy, history sending packets and so on among the working nodes in each grid. Last, it improves energy utility by changing the activity of wireless communication module of sensor nodes, energy model and state transition of sensor nodes. Simulation results show that, compared with UVDC and LEACH, EBDC significantly balances the node’s average energy consumption and prolong the network lifetime

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“…The Fig. 2 shows the ''commands'' performed along the path (state transition) between states [29]. It means that whenever a node changes its state-based energy dissipation model to current state it performs tests and actions until the new state is reached.…”

Section: Node State Transition Modelmentioning

confidence: 99%

An Energy Efficient Dynamic Clustering Protocol Based on Weight in Wireless Sensor Networks

Zhang¹,

Wang

2011

JNW

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Nodes in most wireless sensor networks (WSNs) are powered by batteries with limited energy. Prolonging network lifetime and saving energy are two critical issues for WSNs. Clustering is an effective technique to improve the energy efficiency and prolong network lifetime of wireless sensor networks. In this paper, an energy efficient dynamic clustering protocol (EEDCP) based on weight for wireless sensor networks is proposed, which is able to dramatically prolong network lifetime and save energy. In the EEDCP, we introduce the typical energy model to compute energy consumption, virtual grid technology to construct cluster and a long sleeping state to reduce energy consumption. In addition, we use the value of weight to measure the size of residual energy instead of voting, which can significant reduce the voting times and the number of transmitting information. Further, simulation experiments are conducted to compare the EEDCP with some well-known clustering algorithms and simulation results show that the proposed method overcomes the existing methods in the aspects of energy consumption and network lifetime in wireless sensor networks.

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An Novel Energy-Efficient Minimum Routing Algorithm (EEMR) in Wireless Sensor Networks

Cited by 6 publications

References 9 publications

Concept of ADSR for Mobile AdHoc Networks/Wireless Sensor Networks

Concept of ADSR for Mobile AdHoc Networks/Wireless Sensor Networks

Energy-Balanced Distributed Clustering Algorithm in Wireless Sensor Networks

An Energy Efficient Dynamic Clustering Protocol Based on Weight in Wireless Sensor Networks

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