On the problem of unbalanced load distribution in wireless sensor networks

On the problem of unbalanced load distribution in wireless sensor networks
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DOI:
10.1109/glocomw.2004.1417552
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发表时间:
2004-11
期刊:
IEEE Global Telecommunications Conference Workshops, 2004. GlobeCom Workshops 2004.
影响因子:
--
通讯作者:
M. Perillo;Z. Cheng;W. Heinzelman
M. Perillo;Z. Cheng;W. Heinzelman
中科院分区:
其他
文献类型:
--
作者:
M. Perillo;Z. Cheng;W. Heinzelman

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在以多对一业务模式为特征的多跳无线传感器网络中,经常出现传感器之间能量不平衡的问题。当每个节点具有固定的传输范围时,随着到数据接收器的距离变小,传感器节点需要转发的流量急剧增加。因此,最靠近数据接收器的传感器往往会过早死亡,使网络的某些区域完全不受监控,并导致网络分区。或者,如果所有传感器都直接传输到数据接收器,那么离数据接收器最远的节点比离接收器近的节点死得快得多。虽然似乎可以通过使用更智能的传输功率控制策略来改善网络生命周期,该策略通过要求距离数据接收器更远的节点进行更长距离的传输(尽管不是直接传输到数据接收器)来平衡每个节点使用的能量,但这种策略只能产生有限的效果。事实上,这种能量平衡只能以总能量效率低下为代价来实现。在本文中,我们研究了传输距离分配优化问题,并展示了在试图最大化多对一无线传感器网络的生命周期时存在这些低效率的地方。
In multi-hop wireless sensor networks that are characterized by many-to-one traffic patterns, problems related to energy imbalance among sensors often appear. When each node has a fixed transmission range, the amount of traffic that the sensor nodes are required to forward increases dramatically as the distance to the data sink becomes smaller. Thus, sensors closest to the data sink tend to die early, leaving areas of the network completely unmonitored and causing network partitions. Alternatively, if all sensors transmit directly to the data sink, the furthest nodes from the data sink dies much more quickly than those close to the sink. While it may seem that network lifetime could be improved by use of a more intelligent transmission power control policy that balances the energy used in each node by requiring nodes further from the data sink to transmit over longer distances (although not directly to the data sink), such a policy can only have a limited effect. In fact, this energy balancing can be achieved only at the expense of gross energy inefficiencies. In this paper, we investigate the transmission range distribution optimization problem and show where these inefficiencies exist when trying to maximize the lifetime of many-to-one wireless sensor networks.