@article {23691,
	title = {An Incentivized Auction Based Group-Selling Approach for Demand Response Management in V2G Systems},
	journal = {IEEE Transactions on Industrial Informatics},
	volume = {11},
	year = {2015},
	month = {12/2015},
	pages = {1554-1563},
	publisher = {IEEE},
	abstract = {Vehicle-to-Grid (V2G) system with efficient Demand Response Management (DRM) is critical to solve the problem of supplying electricity by utilizing surplus electricity available at EVs. An incentivilized DRM approach is studied to reduce the system cost and maintain the system stability. EVs are motivated with dynamic pricing determined by the group-selling based auction. In the proposed approach, a number of aggregators sit on the first level auction responsible to communicate with a group of EVs. EVs as bidders consider Quality of Energy (QoE) requirements and report interests and decisions on the bidding process coordinated by the associated aggregator. Auction winners are determined based on the bidding prices and the amount of electricity sold by the EV bidders. We investigate the impact of the proposed mechanism on the system performance with maximum feedback power constraints of aggregators. The designed mechanism is proven to have essential economic properties. Simulation results indicate the proposed mechanism can reduce the system cost and offer EVs significant incentives to participate in the V2G DRM operation.},
	keywords = {auction, Demand response management, group-selling, Vehicle-to-grid},
	doi = {10.1109/TII.2015.2482948},
	author = {Zeng, Ming and Leng, Supeng and Maharjan, Sabita and Gjessing, Stein and He, Jianhua}
}
@article {Simula.ND.287,
	title = {QoS Aware Admission and Power Control for Cognitive Radio Cellular Networks},
	journal = {Wiley Wireless Communications and Mobile Computing},
	volume = {9},
	number = {11},
	year = {2009},
	month = {November},
	pages = {1520-1531},
	publisher = {Wiley},
	abstract = {In cognitive radio cellular networks, the Secondary Users (SUs) are allowed to access the channels licensed to the Primary Users (PUs) including Primary Transmitters (PTs) and Primary Receivers (PRs), only if the interference to the PRs is less than the predefined threshold, and the Quality of Service (QoS) requirements of PTs are guaranteed. In addition, different SUs may require different levels of QoS, and pay differently depending on the provided QoS. The network operator achieves different secondary revenues by admitting SUs in different QoS levels. The problem we address in this paper is to maximize the total secondary revenue relative to the interference constraints on PRs, and QoS requirements for both PTs and SUs. We formulate this optimization problem, and propose a power control scheme for both PTs and SUs. Then, we introduce three solutions including an exact solution using dynamic programming, a greedy heuristic algorithm, and a minimal SINR removal algorithm. Based on these algorithms, we propose three QoS aware admission and power control schemes, one optimal solution called QAPC-Dynamic, and two approximate solutions called QAPC-Greedy and QAPC-MSRA, respectively. Numerical results show that QAPC-Dynamic always achieves the highest secondary revenue while QAPC-MSRA gives the lowest secondary revenue. Since the time complexity of QAPC-Dynamic is much higher than the other two schemes, QAPC-Greedy is recommended considering the trade-off between the computation complexity and performance gain.},
	doi = {10.1002/wcm.765},
	author = {Xiang, Jie and Zhang, Yan and Skeie, Tor and He, Jianhua}
}
@inproceedings {Simula.ND.48,
	title = {Ad Hoc Network State Aware Routing Protocol},
	journal = {the 2007 IEEE Wireless Communications and Networking Conference (WCNC 2007)},
	year = {2007},
	pages = {3746-3751},
	publisher = {IEEE},
	type = {Conference},
	abstract = {The environment of a mobile ad hoc network may vary greatly depending on nodes{\textquoteright} mobility, traffic load and resource conditions. In this paper we category the environment of ad hoc network into three main states: an ideal state, wherein the network is relatively stable with sufficient resources; a congested state, wherein some nodes, regions or the network is experiencing congestion; and an energy critical state, wherein the energy capacity of nodes in the network is critically low. Each of these states requires unique routing schemes, but existing ad hoc routing protocols are only effective in one of these states. This implies that when the network enters into any other states, these protocols run into a sub optimal mode, degrading the performance of the network. We propose an Ad hoc Network State Aware Routing Protocol (ANSAR) which conditionally switch between earliest arrival scheme and a joint Load-Energy aware scheme depending on the current state of the network. Comparing to existing schemes, it yields higher efficiency and reliability as shown in our simulation results.},
	isbn = {1-4244-0658-7},
	author = {Xiang, Jie and Sesay, Samba and Wang, Yiming and He, Jianhua},
	editor = {Ben Letaief, Khaled}
}
@inproceedings {Simula.ND.68,
	title = {Ad Hoc Network State Aware Routing Protocol},
	journal = {2007 IEEE Wireless Communications and Networking Conference (WCNC 2007)},
	year = {2007},
	month = {March},
	pages = {3746-3751},
	publisher = {IEEE Communications Society},
	type = {Conference},
	abstract = {The environment of a mobile ad hoc network may vary greatly depending on nodes{\textquoteright} mobility, traffic load and resource conditions. In this paper we categorize the environment of an ad hoc network into three main states: an ideal state, wherein the network is relatively stable with sufficient resources; a congested state, wherein some nodes, regions or the network is experiencing congestion; and an energy critical state, wherein the energy capacity of nodes in the network is critically low. Each of these states requires unique routing schemes, but existing ad hoc routing protocols are only effective in one of these states. This implies that when the network enters into any other states, these protocols run into a sub optimal mode, degrading the performance of the network. We propose an ad hoc network state aware routing protocol (ANSAR) which conditionally switches between earliest arrival scheme and a joint load-energy aware scheme depending on the current state of the network. Comparing to existing schemes, it yields higher efficiency and reliability as shown in our simulation results.},
	isbn = {1-4244-0659-5},
	author = {Xiang, Jie and Sesay, Samba and Wang, Yiming and He, Jianhua},
	editor = {Ben Letaief, Khaled}
}
@inproceedings {Simula.ND.153,
	title = {Hotspot Mitigation With Measured Node Throughput in Mobile Ad Hoc Networks},
	journal = {the 6th International Conference on ITS Telecommunications (ITST 2006)},
	year = {2006},
	month = {June},
	pages = {749-752},
	publisher = {IEEE},
	type = {Conference},
	abstract = {A network node or region is said to be experiencing hotspot when it is subjected to a traffic load substantially larger than the design load, creating a situation wherein demand for network resources exceeds that available for use. Due to the dynamics and lack of central control in mobile ad hoc wireless network (MANET), it is common to have imbalance in the distribution of network traffic load. This issue compounded by the utilization of shortest path route selection metrics makes hotspot intrinsic to MANET. Under hotspot conditions a network would experience high contention and congestion that may in turn result in increased packet loss, end-to-end delay, transmission errors and faster battery power depletion. This phenomenon generally degrades the overall performance of the network. At a node, hotspot can be detected through high buffer occupancy, packet loss, and excessive MAC contention delay. No single one of these metrics alone can accurately detect hotspot. Monitoring these parameters independently and combining them to accurately detect hotspot would result in a complex scheme. In this paper, we are proposing a simple and effective hotspot mitigation scheme {\textquoteright}HUNT{\textquoteright} based on the throughput of network nodes. Through simulation experimentation, we prove that HUNT can effectively mitigate hotspot in best effort on-demand routing protocols such as DSR and yields improved efficiency, reliability and robustness.},
	isbn = {0-7803-9587-5},
	author = {Sesay, Samba and Xiang, Jie and He, Jianhua and Yang, Zongkai and Cheng, Wenqing},
	editor = {Li, Lemin}
}
@inproceedings {Simula.ND.157,
	title = {Ensuring Efficiency and Robustness in MANET},
	journal = {the 2nd International Conference on Mobile Technology, Applications and Systems (Mobility 2005)},
	year = {2005},
	month = {November},
	pages = {152-157},
	publisher = {IEE},
	type = {Conference},
	abstract = {This paper introduces a joint load balancing and hotspot mitigation protocol for Mobile Ad-hoc Network (MANET) termed by us as "Load Energy Balance + Hotspot Mitigation protocol (LEB+HM)". We argue that although Ad-hoc Wireless Networks have limited network resources - Bandwidth and Power, prone to frequent link/node failures and have high security risk; existing ad hoc routing protocols do not put emphasis on maintaining robust link/node, efficient use of network resources and on maintaining the security of the network. Typical route selection metrics used by existing ad hoc routing protocols are shortest hop, shortest delay, and loop avoidance. These routing philosophy have the tendency to cause traffic concentration on certain regions or nodes, leading to heavy contention, congestion and resource exhaustion which in turn may result in increased end-to-end delay, packet loss and faster battery power depletion, degrading the overall performance of the network. Also in most existing on-demand ad hoc routing protocols intermediate nodes are allowed to send route reply RREP to source in response to a route request RREQ. In such situation a malicious node can send a false optimal route to the source so that data packets sent will be directed to or through it, and tamper with them as wish. It is therefore desirable to adopt routing schemes which can dynamically disperse traffic load, able to detect and remove any possible bottlenecks and provide some form of security to the network. In this paper we propose a combine Adaptive load energy balancing and hotspot mitigation scheme that aims at evenly distributing network traffic load and energy, mitigate against any possible occurrence of hotspot and provide some form of security to the network. This combine approach is expected to yield high reliability, availability and robustness, that best suits any dynamic and scalable ad hoc network environment. Dynamic Source Routing (DSR) was use as our underlying protocol for the implementation of our algorithm. Simulation comparison of our protocol to that of original DSR shows that our protocol has reduced node/link failure, even distribution of battery energy, and better network service efficiency.},
	isbn = {981-05-4573-8},
	author = {Sesay, Samba and Yang, Zongkai and He, Jianhua and Xiang, Jie and Du, Xu},
	editor = {Boo, Ivan}
}
@inproceedings {Simula.ND.155,
	title = {A Packet Loss Salvation Scheme for Voice Over MANET},
	journal = {the 2nd International Conference on Mobile Technology, Applications and Systems (Mobility 2005)},
	year = {2005},
	month = {November},
	pages = {311-316},
	publisher = {IEE},
	type = {Conference},
	abstract = {This paper experiments a hybrid of Mobile ad hoc wireless network (MANET) and fixed land network. We analyze the issues of transferring voice over such networks, and provide a packet loss salvation scheme to reduce packet loss rate. We also provide a new estimation mechanism by utilizing information gleaned from the upstream intermediate node. We take jitter into consideration and analyze how jitter exerts its influence. According to this packet transmission metrics decisions could be made on whether or not a packet should be transmitted at a particular time. Our protocol algorithm was implemented on Ad hoc On-demand Distance Vector (AODV) routing protocol. From our simulation results and analysis it is shown that our scheme can reduce packet loss rate in voice over MANET compared to that of the original AODV.},
	isbn = {981-05-4573-8},
	author = {Xie, Nan and Xiang, Jie and He, Jianhua and Sesay, Samba},
	editor = {Boo, Ivan}
}
@inproceedings {Simula.ND.69,
	title = {Subjective Quality Evaluation for Voice Over MANET},
	journal = {the 2005 International Conference on Wireless Communications, Networking and Mobile Computing(WCNM 2005)},
	volume = {2},
	year = {2005},
	month = {September},
	pages = {1112-1115},
	publisher = {IEEE},
	type = {Conference},
	abstract = {Due to the dynamic and multihop nature of the mobile ad-hoc network (MANET), voice communication over MANET may encounter many challenges. We set up a subjective quality evaluation model using ITU-T E-model with extension. And through simulation in NS-2, we evaluate how the following factors impact voice quality in MANET: the number of hops, the number of route breakages, the number of communication pairs and the background traffic. Using AODV as the underlying routing protocol, and with the MAC layer changed from 802.11 DCF to 802.11e EDCF, we observe that 802.11e is more suitable for implementing voice communication over MANET.},
	isbn = {0-7803-9335-X},
	author = {Xiang, Jie and He, Jianhua and Sesay, Samba and Xie, Nan},
	editor = {Zhou, Huaibei}
}
