Abstract
Sensor nodes usually have limited energy supply and they are impractical to recharge. How to balance traffic load in sensors in order to increase network lifetime is a very challenging research issue. Many clustering algorithms have been proposed recently for wireless sensor networks (WSNs). However, sensor networks with one fixed sink node often suffer from a hot spots problem since nodes near sinks have more traffic burden to forward during a multi-hop transmission process. The use of mobile sinks has been shown to be an effective technique to enhance network performance features such as latency, energy efficiency, network lifetime, etc. In this paper, a modified Stable Election Protocol (SEP), which employs a mobile sink, has been proposed for WSNs with non-uniform node distribution. The decision of selecting cluster heads by the sink is based on the minimization of the associated additional energy and residual energy at each node. Besides, the cluster head selects the shortest path to reach the sink between the direct approach and the indirect approach with the use of the nearest cluster head. Simulation results demonstrate that our algorithm has better performance than traditional routing algorithms, such as LEACH and SEP.
Highlights
Technology advancements in the areas of micro-mechatronic systems and wireless networks, etc. have allowed the rapid development of wireless micro-sensors for wireless communications
We propose a Mobile sink-based improved algorithm for Stable Election (MSE)
The only thing that was taken into consideration was to combine Stable Election Protocol (SEP) with the mobile sink which makes the evaluation of network lifetime not long enough
Summary
Technology advancements in the areas of micro-mechatronic systems and wireless networks, etc. have allowed the rapid development of wireless micro-sensors for wireless communications. When comparing with sensors far from the sink, nearby sensors are shared by more sensor-to-sink paths, they have heavier message relay loads, and consume more energy [8] To solve this problem, many energy efficient routing algorithms and protocols have been proposed in recent years, including clustering based routing protocols [9,10,11,12,13,14,15,16], mobile sink based routing protocols [17,18,19,20,21,22], power-aware routing [23,24,25] and multi-level transmission radii routing [26].
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