Sensor selection for tracking multiple groups of targets

Armaghani, Farzaneh R.; Gondal, Iqbal; Green, David G.

doi:10.1016/j.jnca.2014.07.023

Cited by 7 publications

(1 citation statement)

References 57 publications

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“…16,17 The nodes with low energy are discarded when designing the routing construction in the nodes' energy sensing algorithm. 18,19 Considering power saving, which is the most important challenge, Bernard and Fouchal 20 propose a distributed and adaptive gossiping technique that guarantees communications over all sensors and saves a high amount of energy. An energy-balanced routing protocol for WSNs is proposed by Li and Donghui 21 with this algorithm, where the network is divided into several clusters using K-means++ algorithm.…”

Section: Related Workmentioning

confidence: 99%

A wireless paging network with load-balancing equal opportunity routing in high-rise building construction

Yang

Liang

2018

International Journal of Distributed Sensor Networks

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The energy consumption of nodes is strictly limited in wireless sensor networks. The traditional direct delivery routing protocol is employed in the paging network of high-rise building construction elevators, which results in the high energy consumption and low successful delivery rate. A load-balancing equal opportunity routing protocol for wireless paging network is proposed in this work. The load-balancing equal opportunity routing protocol is a data transfer technique which maintains the network survivability by selecting the optimal path with both the lower energy consumption and the balanced network load. A load-balancing scheme gives equal opportunities for package transmission. A pager node delivers the packages by selecting a neighbor node with higher energy. The neighbor nodes in the coverage of the source node have an equal opportunity for routing. The sink node in the paging network broadcasts routing messages when moving along the track during the path selecting. The proposed load-balancing equal opportunity routing protocol is implemented and evaluated in a high-rise building construction elevator. The experimental results show that the average energy consumption of nodes is lowered with a balanced network load. It is estimated that successful delivery rate is increased by 55% but with a higher latency, and the network lifetime is prolonged.

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