2014
DOI: 10.14569/ijacsa.2014.051012
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Prolonging Network Lifetime in Wireless Sensor Networks with Path-Constrained Mobile Sink

Abstract: Abstract-Many studies in recent years have considered the use of mobile sinks (MS) for data gathering in wireless sensor networks (WSN), so as to reduce the need for data forwarding among the sensor nodes (SN) and thereby prolong the network lifetime. Moreover, in practice, often the MS tour length has to be kept below a threshold, usually due to timeliness constraints on the sensors data (delay-critical applications). This paper presents a modified clustering and data forwarding protocol combined with a MS so… Show more

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Cited by 4 publications
(3 citation statements)
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“…As to the problem involved in gathering data from sensor nodes to mobile sink through multihop communication, various schemes like hop-based approach [18, 19], QoS-based approach [9, 20], and relay-based approach [21, 22] have been proposed. In these approaches, the sensor nodes are divided into two groups: (i) subsink nodes which can directly communicate with the mobile sinks and (ii) member nodes which can communicate with the sink via multihop transmission.…”
Section: Related Workmentioning
confidence: 99%
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“…As to the problem involved in gathering data from sensor nodes to mobile sink through multihop communication, various schemes like hop-based approach [18, 19], QoS-based approach [9, 20], and relay-based approach [21, 22] have been proposed. In these approaches, the sensor nodes are divided into two groups: (i) subsink nodes which can directly communicate with the mobile sinks and (ii) member nodes which can communicate with the sink via multihop transmission.…”
Section: Related Workmentioning
confidence: 99%
“…The QoS-based approach utilizes the expected QoS to route the data to the sink. In [9], the author modified the shortest path algorithms to adapt to the delay constraint on the sensor data. In particular, in [20], the network lifetime is maximized under the total data collection of the subsink as a QoS constraint.…”
Section: Related Workmentioning
confidence: 99%
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