EDAL: An Energy-Efficient, Delay-Aware, and Lifetime-Balancing Data Collection Protocol for Heterogeneous Wireless Sensor Networks

Yao, Yanjun; Cao, Qing; Vasilakos, Athanasios V.

doi:10.1109/tnet.2014.2306592

Cited by 311 publications

(139 citation statements)

References 24 publications

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“…In this paper [19], comes from our understanding that later look into endeavors on open vehicle routing (OVR) issues, a dynamic range in operations research, depend on comparative suspicions and imperatives contrasted with sensor systems. Accordingly, it might be possible that we could adjust these strategies in a manner that they will give significant arrange-ments to certain dubious issues in the remote sensor arrange (WSN) area.…”

Section: Edal: Anmentioning

confidence: 99%

Survey on Opportunistic Routing Protocol: JOKER

Abraham¹

2017

ijecs

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The present requests for cell phones are to save vi-tality while growing the mixed media administrations. Lamentably, batteries' lifetime has not been as stretched out as it would be attractive. Because of this chopping down vitality utilization in each undertaking performed by these gadgets is basic. JOKER is foreign as an opportunis-tic routing protocol. This thought acquires oddities both the applicant determination and coordination stages, which allowance the expand of a network supporting multimedia traffic and enlarge the nodes' energy capability. Perception of JOKER and BATMAN is appeared in this paper with diverse different execution, demonstrates its predominance such as video spilling as far as QoE while resolving power draining depletion in routing tasks .

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Section: Edal: Anmentioning

confidence: 99%

Survey on Opportunistic Routing Protocol: JOKER

Abraham¹

2017

ijecs

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“…These studies have promoted the new military revolution with network technology as the core, established the network centric warfare system, and thus opened the prelude to the research of wireless sensor networks. Since the mid-1990s, wireless sensor networks have attracted great attention from academia, military and industry [9]. Through the Ministry of Defense and the National Natural Resources Commission and other channels, the United States invested heavily in support of wireless sensor network technology research.…”

Section: State Of the Artmentioning

confidence: 99%

An Improved Ant Colony Algorithm in Wireless Sensor Network Routing

Lv¹

2017

Int. J. Onl. Eng.

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Abstract-In order to make the energy consumption of network nodes relatively balanced, we apply ant colony optimization algorithm to wireless sensor network routing and improve it. In this paper, we propose a multi-path wireless sensor network routing algorithm based on energy equalization. The algorithm uses forward ants to find the path from the source node to the destination node, and uses backward ants to update the pheromone on the path. In the route selection, we use the energy of the neighboring nodes as the parameter of the heuristic function. At the same time, we construct the fitness function, and take the path length and the node residual energy as its parameters. The simulation results show that the algorithm can not only avoid the problem of local optimal solution, but also prolong the life cycle of the network effectively.

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“…It balances the delay among different paths by using a polynomialtime algorithm to solve a multi-objective optimization problem. In [18], Yao et al designed an energy efficient delay aware protocol to balance network lifetime, called EDAL. They proposed a centralized heuristic to reduce computational complexity and a distributed heuristic to make the algorithm suitable for large-scale WSNs.…”

Section: Related Workmentioning

confidence: 99%

“…Many solutions [10][11][12][13][14][15][16][17][18] have been proposed to tackle the problem of delay constrained energy efficient routing in WSNs with various degrees of success. This problem is to minimize the total energy consumption E total of a route R i , while keeping the end-to-end delay 1859-378X-2016-3401 c 2016 REV D ete under a given constraint ∆.…”

Section: Introductionmentioning

confidence: 99%

A Distributed Heuristic Algorithm for Delay Constrained Energy Efficient Routing in Wireless Sensor Networks

Huynh¹,

Tran²,

Dinh-Duc³

2017

REV J. Electron. Commun.

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Abstract-Besides energy restriction, wireless sensor networks (WSNs) should be able to provide bounded end-to-end delay when they are used to support real-time applications such as early forest fire alarm systems. In this article, we investigate the problem of finding the least energy consumption route subject to a delay constraint with low computational complexity in such networks. Based on the distance-vector routing approach, which has less computational complexity and message overhead, we propose a distributed heuristic algorithm called Delay Constrained Energy Efficient Routing (DCEER) in order to minimize the total energy consumption while meeting the end-to-end delay requirement. DCEER only requires a moderate amount of information at each sensor node and does not suffer from the excessive running time. We prove that our proposed algorithm always finishes within a finite time and the computation complexity is only O(n), where n is a divisor of the number of sensor nodes. By mathematical proof and simulation, we verify that DCEER is suitable for large-scale WSNs because the number of messages exchanged between sensor nodes are represented by a polynomial function. Furthermore, we evaluate our proposal to compare its performance with related protocols.

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EDAL: An Energy-Efficient, Delay-Aware, and Lifetime-Balancing Data Collection Protocol for Heterogeneous Wireless Sensor Networks

Cited by 311 publications

References 24 publications

Survey on Opportunistic Routing Protocol: JOKER

Survey on Opportunistic Routing Protocol: JOKER

An Improved Ant Colony Algorithm in Wireless Sensor Network Routing

A Distributed Heuristic Algorithm for Delay Constrained Energy Efficient Routing in Wireless Sensor Networks

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