Modified geographical energy-aware routing protocol in wireless sensor networks

Singh, Praveen Kumar; Prajapati, Atul Kumar; Singh, Arunesh Kumar; Singh, Rajvir

doi:10.1109/iceteeses.2016.7581386

Cited by 8 publications

(6 citation statements)

References 18 publications

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“…The node chooses a random number between 0-1 to take such a decision. For the current round, the node becomes a Cluster Head (CH) if the number chosen above is less than the following threshold: Threshold Equation (1) implies that all the nodes would be able to become Cluster Head (CH) nodes after 1/P rounds. When a node successfully gets elected as Cluster Head (CH), it broadcasts an advertisement message to all the other nodes.…”

Section: Existing Methodologymentioning

confidence: 99%

Enhancing Lifetime of WSN Through Ra-Leach (Revised Aco Based Leach Algorithm)

2017

IJAERD

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Section: Existing Methodologymentioning

confidence: 99%

Enhancing Lifetime of WSN Through Ra-Leach (Revised Aco Based Leach Algorithm)

2017

IJAERD

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“…The simulation results demonstrated that the proposed protocol improved energy efficiency and extended the network life-cycle. In [ 20 ], a modified geographical energy aware routing was presented in WSN. The gateway node and the approaches for CH selection were integrated together to optimize energy consumption efficiency and enlarge the network life-cycle.…”

Section: Related Workmentioning

confidence: 99%

A Smart Collaborative Routing Protocol for Reliable Data Diffusion in IoT Scenarios

Zhou

Song

2018

Sensors

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It is knotty for current routing protocols to meet the needs of reliable data diffusion during the Internet of Things (IoT) deployments. Due to the random placement, limited resources and unattended features of existing sensor nodes, the wireless transmissions are easily exposed to unauthorized users, which becomes a vulnerable area for various malicious attacks, such as wormhole and Sybil attacks. However, the scheme based on geographic location is a suitable candidate to defend against them. This paper is inspired to propose a smart collaborative routing protocol, Geographic energy aware routing and Inspecting Node (GIN), for guaranteeing the reliability of data exchanging. The proposed protocol integrates the directed diffusion routing, Greedy Perimeter Stateless Routing (GPSR), and the inspecting node mechanism. We first discuss current wireless routing protocols from three diverse perspectives (improving transmission rate, shortening transmission range and reducing transmission consumption). Then, the details of GIN, including the model establishment and implementation processes, are presented by means of the theoretical analysis. Through leveraging the game theory, the inspecting node is elected to monitor the network behaviors. Thirdly, we evaluate the network performances, in terms of transmission delay, packet loss ratio, and throughput, between GIN and three traditional schemes (i.e., Flooding, GPSR, and GEAR). The simulation results illustrate that the proposed protocol is able to outperform the others.

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“…The gateway nodes collect the data form nodes and form the cluster heads, then the data is aggregated and transmitted to the base station. To do so, the network is divided into four distinguished logical regions, two of them use direct communication while the two-other part use clustering hierarchy, depending on probability and the residual energy of nodes [8]. The authors claim that MGEAR gives the largest network lifetime because of network division into logical part, while LEACH (Low-energy Adaptive Clustering Hierarchy) nodes die quickly.…”

Section: Modified Geographical Energy-aware Routing Protocol In Wirelmentioning

confidence: 99%

Energy consumption of Geographic Routing Mechanisms in Wireless Sensor Networks – a Survey

Korteby¹,

Gál²

2018

Proceedings of the 10th International Conference on Applied Informatics

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Geographic routing algorithms have received an increasing interest as a routing solution for WSN over the past years. These algorithms refer to nodes by their location, rather than their address and use this coordinates to route greedily when possible toward the destination. These tasks are executed for a better scalability, successful data transmission and lower energy consumption. Most geographic routing mechanisms tend to have a limitation regarding routing toward dead ends and obstacles. Some algorithms were developed for packet radio and wired networks as a greedy strategy, based on the relative direction of the source and destination. Instead of selection the next hop by the minimum criteria, two hops information and heuristic model are used to avoid congested areas and void regions. To increase the delivery rate, multipath strategy algorithms were introduced to broadcast a message through different nodes that are within an incomplete pyramid determined by the source and destination nodes. On the other hand, other techniques tend to not rely on location information but define a scalable coordinate based routing algorithm that involve assigning virtual coordination to each node. These techniques are powerful and reliable but indeed they fail to have good packet delivery, guaranty transmission to all target nodes and working on large void areas. These mechanisms do not focus on energy consumption and network life time. Hence the need of a new approach that concerns energy efficiency, greatly shorten the average data transmission and prolong the network lifespan. In our paper, a survey of existing geographic routing mechanisms and a new routing solution in wireless sensor network environment, named ALBEMS will be presented.

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Modified geographical energy-aware routing protocol in wireless sensor networks

Cited by 8 publications

References 18 publications

Enhancing Lifetime of WSN Through Ra-Leach (Revised Aco Based Leach Algorithm)

Enhancing Lifetime of WSN Through Ra-Leach (Revised Aco Based Leach Algorithm)

A Smart Collaborative Routing Protocol for Reliable Data Diffusion in IoT Scenarios

Energy consumption of Geographic Routing Mechanisms in Wireless Sensor Networks – a Survey

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